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Domain > outshift.staging.eticloud.io
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DNS Resolutions
Date
IP Address
2024-08-21
44.240.237.10
(
ClassC
)
2025-11-01
3.16.59.29
(
ClassC
)
Port 80
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Port 443
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Policy\}},\$\,\div\,\2\,{\children\:\$\,\$L30\,null,{}},\$\,\div\,\3\,{\children\:\$\,\$L20\,null,{\href\:\https://www.cisco.com/c/en/us/about/legal/trademarks.html\,\target\:\_blank\,\children\:\Trademarks\,\className\:\cursor-pointer inline-flex items-center justify-center tracking-wider transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-slate-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-slate-300 underline-offset-4 hover:underline h-9 py-18px rounded-4px px-0 text-sm font-thin text-gray-200 sm:text-center\,\ref\:null,\aria-label\:\Trademarks\}}},\$\,\span\,null,{\className\:\text-sm font-thin text-gray-200 lg:text-center\,\children\:\©2025 Cisco Systems, Inc.\}}\n)/script>script>self.__next_f.push(1,32:T133e,)/script>script>self.__next_f.push(1,Data pipelines can present numerous challenges for DevOps. This is because the more data pipelines you work with, the higher the risk that your data will become difficult to manage.\n\nAs we know, data is not static. It changes constantly, and it must be validated continuously to ensure that data quality issues don’t destroy whichever pipelines you are feeding your data through. You must also be able to react quickly to problems with your data in order to avoid disrupting workflows.\n\u003ch2\u003eIntroducing Great Expectations and Apache Airflow\u003c/h2\u003e\nFortunately, the open source community has built some great tools to solve this challenge.\n\nOne is\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://greatexpectations.io/\\u003eGreat Expectations\u003c/a\u003e, an open-source software used for vetting data quality. Great Expectations data validation helps teams avoid bad data propagate in the pipeline through data testing, documentation and profiling.\n\u003cdiv\u003e\n\n\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/5-reasons-devops-should-integrate/1.png\ alt\Introducing_Great_Expectations_and_Apache_Airflow\ width\676\ height\320\\u003e \u003cspan\u003e\u003c/span\u003e\n\n\u003cfigcaption\u003eGreat Expectations in a real-world data pipeline.\u003c/figcaption\u003e\u003c/div\u003e\nAnother tool is\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://airflow.apache.org/\\u003eApache Airflow\u003c/a\u003e, which lets you programmatically author, schedule and monitor data workflows. Airflow provides an orchestration and management framework for integrating data pipelines with DevOps tasks. It supports any type of mainstream environment – containers, public cloud, VMs and so on.\n\nYou can use Great Expectations and Airflow separately. But to maximize your ability to keep your data pipelines moving efficiently, you should integrate these tools together. Here are 5 reasons these tools should be integrated.\n\u003ch2\u003eCatch data issues early on\u003c/h2\u003e\nThe concept of\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://devops.com/devops-shift-left-avoid-failure/\\u003e“shifting left”\u003c/a\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e– which means catching issues early, when they are easier to resolve – is central to the DevOps methodology.\n\nIntegrating Great Expectations and Airflow helps DevOps teams apply this principle to data pipelines. It lets you identify issues earlier in the pipeline, ensuring that only validated data is passed into the next stage of the workflow. Instead of waiting to discover that data quality issues have broken your workflow, you can detect and resolve them as early as possible, significantly increasing efficiency.\n\u003ch2\u003eAchieve greater precision\u003c/h2\u003e\nBy using Great Expectations and Airflow together, you can see exactly where in a workflow data issues lie. In turn, you can fix the data efficiently. Instead of having to guess how low-quality data impacts your workflow, you can pinpoint the relationship between problematic data and workflow tasks, then remedy it directly. This means that the workflow will proceed smoothly as planned without being impacted by data-quality issues\n\u003ch2\u003eAvoid pipeline-wide searches\u003c/h2\u003e\nThe Airflow dashboard displays each particular task and task failure automatically. That means there is no need to search through your entire pipeline when troubleshooting workflow issues or understanding the state of data within your workflow. By automatically identifying exactly where the data issue lies, you can take the appropriate steps to remedy it in a timely manner.\n\u003ch2\u003eMinimize failure risks\u003c/h2\u003e\nWhen you use Great Expectations and Airflow together, you can be confident that each new step in your workflow will be executed only after the data it depends on has been validated from a quality perspective.\n\nThis means you can limit the potential for failure and clean up errors that would result in incorrect data filtering through your directed acyclic graph (DAG).\n\u003ch2\u003eCreate scalable pipelines\u003c/h2\u003e\nData pipelines built with Airflow are highly scalable, and Great Expectations data validation helps you double-down on scalability, no matter how much data you have to work with.\n\nSo, no matter the quantity of your data, Airflow and Great Expectations ensure that you can operate efficiently and at scale.\n\u003ch2\u003eConclusion\u003c/h2\u003e\nAlthough integration between Great Expectations data validation and Apache Airflow is relatively new, there are excellent reasons to use the tools in tandem. Doing so exponentially increases the value that you could achieve by using either tool on its own. By automatically validating data in your pipeline, you ensure that DevOps time is used more efficiently, rather than having to manually check for data quality issues. This allows you to focus more on development, rather than worrying about data quality in the pipelines.\n\nLearn how to integrate the tools in this\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://techblog.cisco.com/blog/optimize-your-data-pipeline-with-apache-airflow-and-great-expectations\\u003eblog post\u003c/a\u003e, which walks through the process step-by-step.)/script>script>self.__next_f.push(1,33:T3421,)/script>script>self.__next_f.push(1,\u003cp\u003eAs the cloud data warehouse in AWS, Amazon Redshift provides seamless integration with other storages, such as Amazon S3. It enables a very cost-effective data warehouse solution, where the user can keep warm data in Amazon Redshift storage and cold data in S3 storage. The user can access the S3 data from Redshift in the same way, retrieving data from the Redshift storage itself. This blog post explains the process for doing just that.\u003c/p\u003e\u003ch2\u003eStep 1: Pre-Requisite\u003c/h2\u003e\u003cp\u003eYou need to have an AWS account with administrative access.\u003c/p\u003e\u003ch2\u003eStep 2: Create S3 Bucket and Upload Sample .csv File\u003c/h2\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-1.png\ alt\Create S3 Bucket and Upload Sample .csv File\ width\936\ height\482\ title\Create S3 Bucket and Upload Sample .csv File\\u003e In this example, I uploaded a .csv file with data about specific countries. The\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003ecountrydata.csv\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003efile looks like this: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-2.png\ alt\countrydata.csv\ width\644\ height\294\ title\countrydata.csv\\u003e\u003c/p\u003e\u003ch2\u003eStep 3: Create IAM Role\u003c/h2\u003e\u003cp\u003eYour IAM Role for the Redshift cluster will be used to provide access to the data in the S3 bucket. Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eCreate Role\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003ein the IAM console, select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eAWS service\u003c/strong\u003e. Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eChoose a use case,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eselect\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eRedshift.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-3.png\ alt\Create IAM Role\ width\940\ height\684\ title\Create IAM Role\\u003e Next, under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eSelect your use case,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003echoose\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eRedshift — Customizable.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-4.png\ alt\Select your use case, choose Redshift — Customizable.\ width\940\ height\232\ title\Select your use case, choose Redshift — Customizable.\\u003e Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eAttach permissions policies\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eselect PowerUserAccess. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-5.png\ alt\Attach permissions policies\ width\940\ height\774\ title\Attach permissions policies\\u003e Next, create a role name and description. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-6.png\ alt\create a role\ width\940\ height\756\ title\create a role\\u003e At the end of all four steps, the summary page will show the details of the role created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-7.png\ alt\summary page\ width\940\ height\634\ title\summary page\\u003e\u003c/p\u003e\u003ch2\u003eStep 4: Launch Redshift Cluster\u003c/h2\u003e\u003cp\u003eIn this step, you’ll launch a Redshift cluster, which will be used to query the S3-based data. Go to Redshift Management Console and click on the\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eCreate cluster\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003ebutton. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-8.png\ alt\Launch Redshift Cluster\ width\940\ height\660\ title\Launch Redshift Cluster\\u003e Select an identifier for the cluster and select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eFree trial.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-9.png\ alt\cluster and select Free trial\ width\940\ height\704\ title\cluster and select Free trial\\u003e\u003c/p\u003e\u003cblockquote\u003e\u003cp\u003eNote: Free trial (dc2.large) doesn’t allow cross-dBs queries. For initiating cross-dBs queries, the minimum requirement is to use paid instances of the ra3.xlplus node type.\u003c/p\u003e\u003c/blockquote\u003e\u003cp\u003eKeep default database configurations, using a master username and master user password. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-10.png\ alt\database configurations\ width\940\ height\708\ title\database configurations\\u003e You’ll now see the cluster you’ve created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-11.png\ alt\cluster\ width\940\ height\606\ title\cluster\\u003e Associate cluster with the role created in step 3. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-12.png\ alt\role created in step 3\ width\938\ height\652\ title\role created in step 3\\u003e You’ll see a summary of what you’ve created in the view shown below. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-13.png\ alt\summary of what you’ve created\ width\940\ height\646\ title\summary of what you’ve created\\u003e On the left-hand menu, select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eEditor\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eusing the options in the screenshot below to connect your cluster to the database you just created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-14.png\ alt\Editor\u0026nbsp;using the options\ width\940\ height\646\ title\Editor\u0026nbsp;using the options\\u003e\u003cspan\u003e!(/assets/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/1-N0mE6uwIyjQFDdC29JwTfg.png)\u003c/span\u003e\u003c/p\u003e\u003ch2\u003eStep 5: Insert Data in Redshift Database\u003c/h2\u003e\u003cp\u003eIn this step, you’ll create a new schema in the Redshift cluster database and then create a table in the schema using the S3-based data. This table will be used to access data from the S3 bucket. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-15.png\ alt\Insert Data in Redshift Database\ width\940\ height\646\ title\Insert Data in Redshift Database\\u003e\u003cspan\u003e!(/assets/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/1-4fQ2z-Tzc6XRRWXntHLfRw.png)\u003c/span\u003e In the Editor view, enter the following code in the query editor:\u003c/p\u003e\u003cdiv\u003e\u003cpre\u003e\u003ccode class\language-plaintext\\u003ecreate external schema trellisdataschema\nfrom data catalog\ndatabase ‘dev’\niam_role ‘arn:aws:iam::YYYYYYYYYYYY:role/trellis-yyyyyy-role’\ncreate external database if not exists;\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-16.png\ alt\Insert Data in Redshift Database_2\ width\940\ height\646\ title\Insert Data in Redshift Database_2\\u003e Next, enter code to create a table for that schema using the data from your .csv file stored in the S3 bucket:\u003c/p\u003e\u003cdiv\u003e\u003cpre\u003e\u003ccode class\language-plaintext\\u003ecreate external table trellisdataschema.countrycapitals(\n\ncountry nvarchar(100),\n\ncapital nvarchar(100)\n\n)\n\nrow format delimited\n\nfields terminated by ‘,’\n\nstored as textfile\n\nlocation ‘s3://trellis-redshift-s3’;\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-17.png\ alt\Amazon Redshift_ Query editor\ width\940\ height\640\ title\Amazon Redshift_ Query editor\\u003e The newly-created schema and table will now show up in the Resources view: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-18.png\ alt\Amazon Redshift_Query editor\ width\386\ height\712\ title\Amazon Redshift_Query editor\\u003e\u003c/p\u003e\u003cp style\text-align:justify;\\u003eNow whenever you run a SQL query, you’ll fetch data from the table that you created, which fetches from the S3 bucket:\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-19.png\ alt\Amazon Redshift_Query editor\ width\940\ height\596\ title\Amazon Redshift_Query editor\\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-20.png\ alt\Rows returned\ width\892\ height\652\ title\Rows returned\\u003e\u003c/p\u003e\u003ch2\u003eRunning Cross-Database Queries\u003c/h2\u003e\u003cp\u003eIn order to execute a cross-database query, you need to upgrade your node type to ra3.xlplus: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-21.png\ alt\Running Cross-Database Queries\ width\932\ height\374\ title\Running Cross-Database Queries\\u003e Next, create the database\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev1\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-22.png\ alt\create the database dev1\ width\940\ height\568\ title\create the database dev1\\u003e Now create the table —\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003epopulation\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-23.png\ alt\Now create the table —\u0026nbsp;population\ width\940\ height\574\ title\Now create the table —\u0026nbsp;population\\u003e Create a respective schema for db ‘dev1’: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-23.png\ alt\Create a respective schema for db ‘dev1’\ width\940\ height\574\ title\Create a respective schema for db ‘dev1’\\u003e Insert data into this table: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-24.png\ alt\Insert data into this table\ width\940\ height\574\ title\Insert data into this table\\u003e Run the query to display your inserted data. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-25.png\ alt\Run the query to display your inserted data\ width\940\ height\618\ title\Run the query to display your inserted data\\u003e Create a second database and table, following the steps above. Create the database\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev2\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-26.png\ alt\Create the database\u0026nbsp;dev2\ width\940\ height\570\ title\Create the database\u0026nbsp;dev2\\u003e Create the table\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003ecurrency\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-27.png\ alt\Create the table currency:\ width\940\ height\572\ title\Create the table currency:\\u003e Create respective schema for db ‘dev2’: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-28.png\ alt\Create respective schema for db ‘dev2’\ width\940\ height\574\ title\Create respective schema for db ‘dev2’\\u003e Insert your data: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-29.png\ alt\Insert your data\ width\940\ height\574\ title\Insert your data\\u003e Run your query to display your data: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-30.png\ alt\Run your query to display your data\ width\940\ height\672\ title\Run your query to display your data\\u003e Now that we have three DBs created (\u003cstrong\u003edev,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev1,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eand\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev2\u003c/strong\u003e) with their respective schemas in Redshift, we can run cross-database queries between these three databases: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-31.png\ alt\respective schemas in Redshift\ width\940\ height\670\ title\respective schemas in Redshift\\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-32.png\ alt\respective schemas in Redshift_2\ width\940\ height\670\ title\respective schemas in Redshift_2\\u003e\u003c/p\u003e)/script>script>self.__next_f.push(1,34:T4a1e,)/script>script>self.__next_f.push(1,\u003cp\u003eData center networks are experiencing a significant surge in the demand for resources due to the rapid growth of AI/ML applications. ChatGPT has rapidly emerged as one of the fastest-growing applications, and its core technology, known as Large Language Models (LLM), has garnered significant attention in various research areas, including networking.\u003c/p\u003e\u003cp\u003eTraining LLMs with trillions of parameters demands substantial AI acceleration resources, such as GPUs. With the continuous growth in LLM size and the slowdown of Moores Law, theres a need to connect GPUs together to form a high-capacity GPU cluster, such as \u003ci\u003eNVIDIA\u003c/i\u003e DGX SuperPOD™ (see 2 in References), to meet these requirements. During LLM training, we must execute stochastic gradient descent (SGD) iterations and make efficient use of both data and model parallelism by seamlessly transferring data between GPUs to achieve the computationally intensive LLM training within a reasonable timeframe. This presents an intriguing, yet challenging, \u0026nbsp;task for data center networking technology.\u003c/p\u003e\u003ch2\u003ePrerequisites for transferring data between GPUs to support LLM training\u0026nbsp;\u003c/h2\u003e\u003cp\u003eOne central issue we aim to address is the following: \u0026nbsp;\u003c/p\u003e\u003cp\u003eHow can we efficiently transport LLM workload data from one GPU to another in a distributed LLM training setup? \u0026nbsp;\u003c/p\u003e\u003cp\u003eIt can be further divided into the following important problems:\u0026nbsp;\u003c/p\u003e\u003col\u003e\u003cli\u003eIs it possible to develop a generalized LLM workload routing mechanism that can leverage the underlying LLM cluster network topology while remaining agnostic to specific proprietary interconnection technologies, like NVLink and InfiniBand?\u003cbr\u003e\u003cbr\u003eSince LLM workload is a relatively new application for data center networking and it has its unique combination of network inter-connections technologies and topologies (See 2 in References), we need to first come up with a common model that takes advantage of the unique characteristics of LLM/DNN (Deep Neural Networks).\u003c/li\u003e\u003cli\u003eCan we define simple metrics to capture traffic conditions that facilitate efficient routing decisions? Ideally, these metrics should capture the essence of L2/L3 data traffic between GPUs, be generic, and yet hide these internal proprietary topologies so that our model will be generic and not tied to a specific vendor or version of the current LLM training setups. Furthermore, the data forwarding decision should be simple, not involving heavy computation in real-time. In addition, the mechanism should be dynamic, as the traffic pattern within those hyper-bandwidth domains (such as those circuit-switching connections with NVLinks) and RDMA capable connections (such as InfiniBand, RoCEv2, or Ultra Ethernet connections) is ever-changing.\u003c/li\u003e\u003cli\u003eIs it feasible to devise a mechanism that allows globally optimal end-to-end routing decisions to be determined solely based on the source GPU and destination GPU, or must it rely on intermediate components as well, thus requiring locally optimal routing decisions to be made on a hop-by-hop basis?\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eHere, we present a general network model with generalized routing metrics designed for data centers tailored to LLM training. This model is built upon high-bandwidth GPU domains interconnected by optimized rails. We utilize a global distributed registry to collect and distribute normalized traffic health scores for each domain and a sorted list of health scores for all rails. These scores are then employed to efficiently calculate network path traffic scores. \u0026nbsp;\u003c/p\u003e\u003cp\u003eAdditionally, we introduce a health ratio metric for each GPU, facilitating the efficient determination of LLM traffic routing decisions based solely on the source and destination health ratios. We find that that the optimal path from the source to the destination only depends on whether the ratio metric of the source is larger than the destination or not, regardless of the intermediate nodes in between, which facilitates efficient AI traffic routing between GPUs. \u0026nbsp;\u003c/p\u003e\u003cp\u003eOur approach can be uniformly applied to different types of LLM traffic, including intra-domain traffic, same-rail traffic, and across-rail traffic. Furthermore, we extend this mechanism to determine the optimal utilization of remote rails for routing traffic when local rails become congested.\u003c/p\u003e\u003ch2\u003eDetailed description: Using rail-only connections to create a novel AI/ML-workload routing architecture optimized for LLM training\u0026nbsp;\u003c/h2\u003e\u003cp\u003eIn the following discussion, we will use a state-of-the-art underlying network connection architecture known as “rail-only connections” (see 2 in References for details and benefits) as our reference network topology. Rail-only connection topology was proposed by researchers from MIT and Meta. It is optimized for LLM training workloads in a data center. Our results can also be extended to a traditional fat-tree Clos data center network architecture, which is supported in legacy data center networking solution.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.29.16%E2%80%AFPM.png\ alt\A LLM cluster with Rail-only connections\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eIn this topology (Figure 1), we have \u003ci\u003eM\u003c/i\u003e high-bandwidth domains, each of which contains \u003ci\u003eK\u003c/i\u003e GPUs with high-speed any-to-any interconnections (such as NVLink/NVSwitch) and K rail switches. Each rail switch, or simply rail, connects the M GPUs with the same order number (referred to as ranking) within each domain.\u003c/p\u003e\u003cp\u003eLet \u003ci\u003eG(d, g)\u003c/i\u003e represent the \u003ci\u003eg-th\u003c/i\u003e GPU in domain \u003ci\u003ed\u003c/i\u003e. To support distributed DNN (Deep Neural Networks) training and inference with SGD iteration and parallelization strategies, each GPU has two types of network connections: one, referred to as \\u003ci\u003ed\u003c/i\u003e-interface,” \u0026nbsp;facilitates any-to-any interconnect within a high-bandwidth domain, while the other, referred to as “\u003ci\u003er\u003c/i\u003e-interface,” is a RDMA-capable NIC connected to a rail switch. Our goal is to efficiently move LLM workloads between GPUs. In essence, we aim to address the following question: \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003ci\u003e\u003cstrong\u003eHow we can efficiently route LLM traffic from the source GPU G1 (G(d1, g1)) to target GPU G2 (G(d2, g2))?\u003c/strong\u003e\u003c/i\u003e\u003c/p\u003e\u003cp\u003eLet us first tackle this from the simple cases to more involved ones:\u0026nbsp;\u003c/p\u003e\u003cp\u003eCase 1: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in the same domain, that is, d1 d2. In that case, we should just use \u003ci\u003eG1\u003c/i\u003e’s d-interface to utilize the high-bandwidth interconnect (yellow traffic in Figure 2).\u003c/p\u003e\u003cp\u003eCase 2: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in different domains, but they are on the same rail, i.e., \u003ci\u003eg1 g2.\u003c/i\u003e In that case, we can typically use \u003ci\u003eG1\u003c/i\u003e’s r -interface to route the traffic to \u003ci\u003eG2\u003c/i\u003e (\u003ci\u003egreen traffic in Figure 2\u003c/i\u003e). We will discuss some intricacy when the corresponding rail switch is busy.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.29.29%E2%80%AFPM.png\ alt\Rail traffic\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eCase 3: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in different domains and on different rails. \u0026nbsp;\u003c/p\u003e\u003cp\u003eThis is a bit involved as at least two hops would be needed to reach \u003ci\u003eG2\u003c/i\u003e from \u003ci\u003eG1\u003c/i\u003e. We can either take the \u003ci\u003ed\u003c/i\u003e-interface first, route the traffic to \u003ci\u003eG(d1, g2)\u003c/i\u003e within the same domain d1 as the next hop, and from there take the \u003ci\u003er\u003c/i\u003e-interface to reach \u003ci\u003eG2\u003c/i\u003e. Let us call this \u003ci\u003edr\u003c/i\u003e-path (Figure 3). \u0026nbsp;\u003c/p\u003e\u003cp\u003eAlternatively, we can also take \u003ci\u003er\u003c/i\u003e-interface to route the traffic to \u003ci\u003eG(d2, g1)\u003c/i\u003e in domain \u003ci\u003ed2\u003c/i\u003e, and then use the \u003ci\u003ed\u003c/i\u003e-interface to reach \u003ci\u003eG2\u003c/i\u003e within domain \u003ci\u003ed2\u003c/i\u003e. We will call this path \u003ci\u003erd\u003c/i\u003e-path (Figure 4).\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.01%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.01 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.09%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.09 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eWhich route to take depends on the dynamic traffic conditions within the LLM cluster. Next, we will develop an LLM cluster traffic condition model to capture and update the traffic conditions in a cohesive manner, enabling the creation of an efficient LLM workload routing mechanism. \u0026nbsp;\u003c/p\u003e\u003cp\u003eWe will begin by introducing several metrics used to represent the traffic condition of components within the LLM cluster. These metrics are referred to as ”traffic health scores” or simply ”health-scores,” denoted as ”h-scores,\ for LLM domains or rails. H-scores are integer values ranging from 0 to 100, where 100 represents 100% healthy, indicating no congestion in the domain or on the rail, while 0 signifies 0% healthy, indicating complete blockage of the concerned component.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eRail and Domain traffic h-score\u003c/h3\u003e\u003cp\u003eThere should be a distributed observability/monitoring architecture in place within the LLM cluster. This architecture includes a cluster controller or master node responsible for running a global traffic monitoring service, which well refer to as \\u003ci\u003ehealthd\u003c/i\u003e.” Each rail switch or interconnection domain should monitor and collect its traffic load, periodically sending reports to ”\u003ci\u003ehealthd\u003c/i\u003e.” \u0026nbsp;”\u003ci\u003ehealthd\u003c/i\u003e” will then consolidate and normalize the data from all rails and domains. It assigns a value between 0% and 100% as the traffic health score and stores this information in a global registry (such as \u003ci\u003eetcd \u003c/i\u003ein a Kubernetes cluster, Apache ZooKeeper, or Consul). Note that our mechanism is independent of any specific health score calculation mechanism as congestion detection can be platform specific, such as ECN/PFC or DCQCN. Also please note that \u003ci\u003eh-score\u003c/i\u003e collection and distribution occur in the control plane and do not affect real-time traffic routing or forwarding speed in the data plane. Additionally, traffic trending takes time, so distributed calculation of \u003ci\u003eh-scores\u003c/i\u003e does not have to be real-time. \u0026nbsp;\u003c/p\u003e\u003cp\u003eAdditionally, each GPU syncs up with the global registry and maintains a local registry cache, allowing each GPU to query the health score of a specific rail “\u003ci\u003er\u003c/i\u003e” as \u003ci\u003eH(r)\u003c/i\u003e or the health score of a domain \\u003ci\u003ed\u003c/i\u003e\ as \u003ci\u003eH(d)\u003c/i\u003e at any given time. After normalization, we have \u003ci\u003e0 \u0026lt; H(r) \u0026lt; 1\u003c/i\u003e and \u003ci\u003e0 \u0026lt; H(d) \u0026lt; 1\u003c/i\u003e. A lower health score value represents a more congested condition.\u0026nbsp;\u003c/p\u003e\u003cp\u003eA network path p in an LLM cluster is a sequence of concatenated domain/rail components, denoted as \u003ci\u003ep c1°c2° … Cm. \u003c/i\u003eWe will denote each component c in the path as \u003ci\u003ec ∈ p.\u003c/i\u003e\u003c/p\u003e\u003cp\u003eNow we can define the \u003ci\u003eh-score\u003c/i\u003e of a network path \u003ci\u003ep\u003c/i\u003e as the product of the \u003ci\u003eh-score\u003c/i\u003e of each segment it traverses.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg class\image_resized\ style\aspect-ratio:undefined/undefined;width:51.12%;\ src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.44%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.44 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eWith this formula, when one component’s health-score decreases, the path’s health-score decreases proportionally. Since all the components are chained in sequence, when one component’s health score is nearly zero (blocked), the whole path’s health-score would be zero (blocked) as well. When all components’ health scores are 1 (100% healthy), the whole path’s health-score would be 1 (100% healthy). Therefore, this simple formula reasonably simulates the traffic condition of the routing path.\u003c/p\u003e\u003cp\u003eFor instance, in Case 1, since the path between \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e only travels through domain \u003ci\u003ed\u003c/i\u003e, its health-score is also \u003ci\u003eH(d)\u003c/i\u003e. In Case 2, the path between \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2 \u003c/i\u003eonly travels through rail \u003ci\u003er\u003c/i\u003e, its health-score is \u003ci\u003eH(r)\u003c/i\u003e. If a path travels domain \u003ci\u003ed1\u003c/i\u003e first, then goes through rail \u003ci\u003er1\u003c/i\u003e to go to domain \u003ci\u003ed2\u003c/i\u003e, then reach the destination GPU via domain \u003ci\u003ed2\u003c/i\u003e, then this 3-hop path’s health-score is \u003ci\u003eH(d1) * H(r1) * H(d2)\u003c/i\u003e. Note that if the destination connected directly to rail \u003ci\u003er1\u003c/i\u003e, then the domain traffic condition should not be involved in the path health-score calculation, so \u003ci\u003eH(p) H(d1) * H(r1)\u003c/i\u003e. \u0026nbsp;\u003c/p\u003e\u003ch3\u003eGPU’s Rail/Domain traffic h-ratio\u003c/h3\u003e\u003cp\u003eBesides \u003ci\u003eh-score\u003c/i\u003e, we will introduce another crucial metric, heath-ratio, or h-ratio, \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e, for each \u003ci\u003eGPU G(d, g)\u003c/i\u003e in the cluster, \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e \u003ci\u003e(G (d, g)) H(g)/H(d).\u003c/i\u003e\u003c/p\u003e\u003cp\u003eWe assume a LLM domain will never reach 0 otherwise the corresponding GPU’s \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e value is infinite, which means the domain is completely blocked so we cannot perform any LLM operations there. \u0026nbsp;\u003c/p\u003e\u003ch3\u003eA dynamic routing congestion model\u003c/h3\u003e\u003cp\u003eNow we can determine the route in G1 in Case 3 easily with the h-ratio metric introduced above (see Figure 5):\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg class\image_resized\ style\aspect-ratio:undefined/undefined;width:89.39%;\ src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.31.12%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.31.12 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eTo verify the correctness of this approach, we know that when we choose GPU1’s r-interface as next hop, its path p1 can be represented as \u003ci\u003ep1 g1°d2\u003c/i\u003e, the other choice, p2, can be represented as \u003ci\u003ep2 d1°g2\u003c/i\u003e. So, we have \u003ci\u003eH(p1) H(g1)*H(d2)\u003c/i\u003e, and \u003ci\u003eH(p2) H(d1)*H(g2)\u003c/i\u003e. Since we have \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e (G1) \u0026gt; \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e (G2), by definition of \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e, we have \u003ci\u003eH(g1) / H(d1) \u0026gt; H(g2)\u003c/i\u003e / \u003ci\u003eH(d2)\u003c/i\u003e, that is \u003ci\u003eH(g1)*H(d2) \u0026gt; H(g2)*H(d1)\u003c/i\u003e\u003c/p\u003e\u003cp\u003eso \u003ci\u003eH(p1) H(g1)*H(d2) \u0026gt; H(d1)*H(g2) H(p2)\u003c/i\u003e, so we can choose the path with higher h-score. \u0026nbsp;\u003c/p\u003e\u003cp\u003eIn other words, when destination GPU’s h-ratio is lower than the source GPU’s h-ratio, we will choose r-interface when we move LLM workload downstream in terms of h-ratio, and choose d-interface when we move LLM workload upstream in terms of h-ratio.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.31.26%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.31.26 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003ch2\u003eConclusions\u0026nbsp;\u003c/h2\u003e\u003cp\u003eWe propose a novel AI/ML-workload routing architecture with generalized traffic condition metrics on a state-of-the-art DC network topology for generative AI training, such as LLM.\u003c/p\u003e\u003col\u003e\u003cli\u003eThe “\u003ci\u003eh-score\u003c/i\u003e” metric captures the traffic health (or congestion) condition trending of high-bandwidth domains and rail switches. It can be used to derive the traffic condition of an end-to-end path within a rail-only topology, forming a self-consistent, intuitive, and efficient-to-implement model. \u0026nbsp;\u003c/li\u003e\u003cli\u003eWe also introduce a metric, \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾 \u003c/span\u003e\u003c/span\u003e(gamma), representing the health ratio of the pair of the interfaces on each GPU. We find that the optimal path can be determined based on whether the metric of the source GPU and that of destination GPU is increasing or decreasing, regardless of the intermediate nodes traversed. This finding significantly simplifies the routing decision and enables efficient workload movement under dynamic traffic conditions.\u003c/li\u003e\u003cli\u003eTo ensure data-plane routing efficiency, we introduce a distributed registry to store h-scores for domains and rails, as well as derived \u003ci\u003eh-ratios\u003c/i\u003e for GPUs in the cluster. This information is stored both at global level in a DC controller and in local GPU as a registry cache on the control plane.\u003c/li\u003e\u003cli\u003eOur method relies on extracted \u003ci\u003eh-core\u003c/i\u003e values for each rail/domain in an LLM cluster, making it independent of the internal interconnect topology and implementation of the domain and rail. \u0026nbsp;\u003c/li\u003e\u003cli\u003eOur mechanism is also independent of the h-score and congestion detection algorithms which can use ECN/PFC, DCQCN, or any other platform specific methods.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eNavigating AI in your enterprise? Learn more about \u003ca target\_blank\ rel\noopener noreferrer\ href\https://outshift.cisco.com/ai\\u003ehow Outshift is empowering enterprises through AI\u003c/a\u003e.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eReferences:\u003c/strong\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://docs.nvidia.com/https:/docs.nvidia.com/dgx-superpod-reference-architecture-dgx-h100.pdf\\u003eNvidia dgx superpod: Next generation scalable infrastructure for ai leadership, reference architecture, 2023.\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://arxiv.org/pdf/2307.12169.pdf\\u003e“How to Build Low-Cost Networks for Large Language Models (Without Sacrificing Performance)?”\u003c/a\u003e A paper on an efficient networking architecture for GPU/LLM, 2023.\u003c/li\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://engineering.purdue.edu/~ychu/publications/infocom13_pktspray.pdf\\u003e“On the Impact of Packet Spraying in Data Center Networks.”\u003c/a\u003e A paper on packet spraying in Data Center Networks.\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e)/script>script>self.__next_f.push(1,35:T32e8,)/script>script>self.__next_f.push(1,\u003cp class\Paragraph SCXW85093987 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;margin:0px 0px 10.6667px;orphans:auto;overflow-wrap:break-word;padding:0px;text-align:left;text-decoration:none;text-indent:0px;text-transform:none;vertical-align:baseline;white-space:pre-wrap;widows:auto;word-spacing:0px;\ paraid\819435884\ paraeid\{d57b0692-2e41-49d7-8747-15bc1873cbf6}{128}\\u003e\u0026nbsp;\u003c/p\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003cp class\text-lg py-2\\u003eOutshift by Cisco is a diverse melting pot of talent with a plethora of expertise and foresight into what’s next and new in the technology industry. Papi Menon not only has several decades of product knowledge gained from his leadership experience at incredible companies such as HashiCorp, GitHub, MuleSoft, and Docker, but also in building emerging technologies across cloud native application security and generative AI. He brings his swagger that unites people to build businesses, tackle new markets, and encourages teams to dream bigger.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eMenon is the chief product officer and vice president of product management for Outshift by Cisco, whose charter is to discover the next transformational business opportunity for Cisco by incubating emerging technologies and serving new markets and personas. At Outshift by Cisco, Menon leads the product management, design, sales, and growth functions. His team focuses on driving product adoption in cloud native application security spaces along with building new generative AI solutions for enterprise customers interested in beginning their generative AI journeys.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eDuring our conversation, Menon and I covered a wide spectrum of topics. We discussed his perspectives on cybersecurity in 2024, the significance of product management in business strategy, and his sources of optimism for the technology industry. Were currently experiencing incredibly exciting times, and it was an absolute pleasure conversing with a visionary leader whos actively shaping our journey towards a more promising future.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eMenon is no stranger to the spotlight, and his insights are sure to ignite your drive to make a positive impact on the world.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What makes your role at Outshift different from other incubators?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Its different because we are trying to do something quite different than just incubating a technology or a business. Within any startup, the challenge when youre trying to bring a new technology to market… is trying to find that product market fit.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe additional challenge within Outshift is that were trying to do this at Cisco, one of the most successful businesses of all time, with revenues in the tens of billions, and were trying to incubate meaningful businesses at that scale.\u003c/p\u003e\u003c/div\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343620386112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW151876126 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What are the barriers to entry for enterprise customers adopting cloud native application security?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Many companies are at different stages in their whole cloud native maturity. Being in the Silicon Valley bubble, we often tend to think of cloud native as something that has already happened. However, the reality is that many enterprises are still early in that journey. So, they have traditional infrastructure that they still need to secure with traditional security.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe nature of the cloud native world evolves so fast. The rate at which new technologies are launched is mindboggling. It’s a challenging job to keep track of these advances. We think of this idea for a cloud native application protection platform and the idea of securing the application life cycle end-to-end is precisely because of this heterogeneous, fragmented, and diverse environment.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What does cybersecurity look like in 2024 and why is Outshift interested in this space?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Cybersecurity is one of those areas where the market continues to evolve and grow very rapidly. It’s a transformational space. From the perspective of how we can leverage AI in pursuit of securing our existing infrastructure or existing application lifecycle better, AI itself is going to increase the risk surface area for businesses.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eGiven these challenges, the product we have in the market is called Panoptica, a cloud native application protection platform. Panoptica takes a very holistic look at the application security in the cloud, from the developer building the application out through running it in the cloud and securing it with the APIs.\u003c/p\u003e\u003c/div\u003e\u003cp class\Paragraph SCXW151876126 BCX0\ style\-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;vertical-align:baseline;white-space:pre-wrap;\ paraid\360656930\ paraeid\{d57b0692-2e41-49d7-8747-15bc1873cbf6}{206}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\EOP SCXW151876126 BCX0\ style\-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cdiv class\raw-html-embed\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343621418112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW202395104 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: How do product teams fit into the bigger picture of a company and how do they play a role in the strategy?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Finding product go-to-market fit, building the right product for the right market, and having a clear strategy on how to take that product to market is virtually crucial for any business. Product management is also a strategy to execution fit.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe role of product management is being the keeper of strategy and making sure that the execution and the strategy fit across sales-led strategy, cloud-led strategy, and engineering-led strategy.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: How crucial is it to have the ability to pivot as a product manager?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: As a product manager, one of the key things is to have humility. And what I mean, by humility is, you need the courage to have a thesis, and to be opinionated about that thesis. Then, have the humility to understand when the signals are telling you that the thesis needs to be changed, or perhaps it is wrong and that something needs to be done.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eYou may need to pivot, change directions, and adjust your roadmap, or your strategy. You need to be super rigorous about measuring yourself and making sure youre tracking toward those success metrics as you have defined them.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What are the skills you look for in a product manager?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: The number one attribute of a product manager, is you have to be curious. You have to be endlessly curious about the potential for doing different things with technology, understanding the markets and the different routes to market, and exploring how to get there. Be endlessly curious.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eSecondly, be courageous. We will never have perfect information, so you are going to have to trust your instincts. Youre going to have to develop your expertise and build your knowledge to the point where you know enough about the space that you can trust your instinct.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eLastly, have the humility to change things when needed. You need to figure out quickly how to fix the things that are broken or how not to break things the next time around. You need to move fast, so you may break things, but you also need to learn from that. Its important to be to be humble.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What keeps you hopeful about the technology industry as a whole?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: I am a technologist through and through. Ive seen technology have a transformational impact on the world in terms of the ability to change peoples lives for the better. Technology has made the world a better, fairer, and more equitable place for people. I’m not oblivious to the risks of technology and how we have to be mindful and aware so we can solve them. Technology is a tool…with tremendous potential for humanity. I think we will figure out how to harness technology in the right way.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343622697112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW26247462 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003eCheck out Outshift’s latest cloud native application security offering, \u003ca href\https://www.panoptica.app/\ target\_blank\ class\text-lg py-2 underline\\u003ePanoptica\u003c/a\u003e.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThis article is part of our series How It’s Made, featuring voices from Outshift’s product management team as they reflect on lessons learned in the field.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,36:T2ba1,)/script>script>self.__next_f.push(1,\u003chtml\u003e\u003chead\u003e\u003c/head\u003e\u003cbody\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eIn our \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\/blog/ai-in-the-enterprise-1\\u003eprevious article\u003c/a\u003e, we looked at how the integration of AI in your enterprise puts the issue of \u003cstrong class\font-dark\\u003ecustomer trust\u003c/strong\u003e at the very center of your concerns. Perhaps you’re crafting optimal, personalized patient care plans. Or maybe you’re generating influencer content based on customer data trends.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAt the enterprise level, there are so many ways to capitalize on the tremendous potential of AI. But how are you using your customer data? Are you transparent with them about that usage? Is the data stored securely? Are your AI models protected from tampering?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your enterprise pursues AI integration, then you must be acutely aware of the corresponding security implications. The task before you is much greater than the creation of efficient models and algorithms. If customers are to trust your AI-powered solutions, then you owe it to them to \u003cstrong class\font-dark\\u003eprioritize privacy, authenticity, and attribution\u003c/strong\u003e.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eFor enterprise stakeholders, trustworthy AI is not just a technical asset; it is a promise of secure and responsible AI operations. The bottom line is this: \u003cstrong class\font-dark\\u003eYour enterprise cannot have AI without prioritizing security\u003c/strong\u003e. To do so would introduce a level of risk that most enterprises and their stakeholders cannot stomach.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn this post, we’ll look closely at security challenges of AI integration, considering how enterprises can secure their systems and data in response.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe’ll start by addressing one of the first stages in the AI journey: data collection.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eData collection and dealing with sensitive data\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eEffective AI starts with data collection. Perhaps you’re gathering log data from components across your distributed system, or you’re gathering biometric data from participants in a pharmaceutical drug trial. Regardless, the more data you can gather and use to train your AI models, the higher the quality of your models’ predictions and outputs.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: During the data collection phase, you run the risk of unintentionally gathering sensitive information—personal identifiable information from customers, confidential business data, proprietary research information, and more.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf you don’t handle this sensitive data appropriately, it will become a vulnerability. Unauthorized access to this data could lead to:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eBreaches of data privacy\u003c/li\u003e\n\u003cli\u003eLegal and financial repercussions from compliance violations\u003c/li\u003e\n\u003cli\u003eLoss of customer trust and damaged brand reputation\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Your enterprise can adopt the following practices to help protect against the improper gathering, storage, or incorporation of sensitive data:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eImplement strict data governance policies to oversee what data is collected and how it is used.\u003c/li\u003e\n\u003cli\u003ePerform regular data audits to identify any unintentional collection of sensitive data.\u003c/li\u003e\n\u003cli\u003eEmploy data classification techniques to ensure that sensitive data is immediately recognized and handled with the necessary care.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eModel training and the exposure of confidential data or IP\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs we move further along the pipeline of AI processes, we arrive at model training. We’ve considered the unintentional inclusion of sensitive data in the data collection phase, but what about the case of sensitive data that is meant to be incorporated? Often, datasets used for model training include confidential or proprietary information out of necessity.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: When training datasets are shared or accessed, intentionally included confidential data or intellectual property (IP) might be exposed.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWhen IP or confidential data is exposed, competitors might learn of your business strategies or gain an undue advantage. Confidential data that is incorporated into your AI models without proper handling may expose your enterprise to industrial espionage.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Various data privacy techniques can be applied to help protect confidential training data from inadvertent exposure. These techniques include:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eLeverage tools to apply differential privacy, ensuring the model does not memorize specific details from training data while preserving the accuracy of model outcomes.\u003c/li\u003e\n\u003cli\u003eSegregate sensitive or confidential data with data partitioning to ensure that it’s not used in shared or public models.\u003c/li\u003e\n\u003cli\u003eImplement anonymization practices to de-identify data, thereby minimizing the impact if a data breach does occur.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eEnsuring secure models\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eEven after your data has been properly collected, handled, and secured, your AI models themselves are susceptible to security threats.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Malicious attackers can try to compromise the integrity of your model and its results through the following attacks:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel poisoning\u003c/strong\u003e: Inserting misleading or incorrect data into a training dataset in order to compromise a model’s predictive accuracy or behavior\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel tampering\u003c/strong\u003e: Altering an already trained model by accessing and modifying a model’s parameters, architecture, or configuration settings\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eIntroduction of bias\u003c/strong\u003e: Skewing a model’s decision-making by manipulating training data, features, labels, or feedback loops\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eWe can’t overstate the repercussions of an AI model with skewed or malicious outputs, especially if the model is used to guide critical business decisions or to interact with end users.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Ultimately, securing your AI models depends on proper validation and monitoring:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eEnforce trusted data sourcing through data lineage tracing and quality checks to guarantee that training data is genuine.\u003c/li\u003e\n\u003cli\u003eConduct regular model validation to ensure that a model is performing as expected and to detect abnormalities in its outputs.\u003c/li\u003e\n\u003cli\u003eImplement continuous model monitoring—including its infrastructure and network—to provide real-time insights into its health and functioning, enabling rapid detection - and mitigation of any anomalies.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eSecuring your stored data\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs we’ve noted, integrating AI into your enterprise requires massive amounts of data, necessitating massive data storage solutions.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Stored data (both raw and processed) can be an attractive target for malicious actors, especially given its volume and potential value.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your data storage solutions are brittle or insecure, your enterprise is susceptible to data breaches that could expose sensitive user or business data. A data breach could lead to substantial financial losses, legal consequences, and damaged business reputation.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Your enterprise can put into place several measures to secure its stored data:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eData encryption is your foremost defense, ensuring that stored data—even if it is accessed without authorization—remains unreadable.\u003c/li\u003e\n\u003cli\u003eUse cloud storage solutions that enact security measures that prevent common data breach threats.\u003c/li\u003e\n\u003cli\u003ePerform regular backups of your data.\u003c/li\u003e\n\u003cli\u003eImplement robust access control measures to protect access to critical datasets.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eSafeguarding your tools and processes\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eCertainly, integrating AI in your enterprise will require the adoption of various third-party tools.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Third-party dependencies, such as open-source tools, might have security vulnerabilities that attackers will exploit in order to compromise your AI processes.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your tools are compromised, then the result could be corrupted AI models or skewed results. Exploited dependencies may even become a backdoor for further breaches into your enterprise’s infrastructure.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Enterprises can take proper actions to ensure the security of their software supply chain.\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eEnsure that all tools come from trusted sources. Regularly update those tools to ensure they have the latest security patches.\u003c/li\u003e\n\u003cli\u003eUse software composition analysis (SCA) to gain insight into the potentially vulnerable, open-source components used in your pipeline.\u003c/li\u003e\n\u003cli\u003eAdopt the use of software bill of materials (SBOMs) coupled with vulnerability scanning to achieve robust software supply chain security.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eBuilding trust prioritizing security\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eThe transformative potential of AI for enterprises is undeniably powerful. However, the integration of AI in the enterprise demands an approach that prioritizes trustworthy and responsible AI. This means establishing a strong commitment to security.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe’ve looked at how integrating AI into your enterprise introduces points of vulnerability. Whether it’s the incorporation of sensitive data into training sets or malicious attackers trying to tamper with your models or tools, your enterprise must take a proactive and informed approach to secure its data and systems.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAs the world continues to move toward AI-centric solutions with increasing fervor, resources like \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://eti.cisco.com/blog/introducing-outshift-by-cisco\\u003eOutshift\u003c/a\u003e are shaping global discussions and practices in order to promote trustworthy and responsible AI. And Outshift stands ready to support you as you move forward in this journey, ensuring that your AI adoption is as secure as it is innovative.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e\u003c/body\u003e\u003c/html\u003e)/script>script>self.__next_f.push(1,37:T4d1,)/script>script>self.__next_f.push(1,\u003cp\u003eIn todays fast-paced business environment, generative AI (GenAI) offers unprecedented opportunities to streamline operations, enhance decision-making, and drive innovation. However, with so many potential applications, it can be challenging to identify the most impactful use cases for your organization.\u003c/p\u003e\u003cp\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWhat’s included\u003c/strong\u003e:\u003c/p\u003e\u003cul\u003e\u003cli\u003eA step-by-step guide to identifying high-impact GenAI use cases.\u003c/li\u003e\u003cli\u003eStrategies to overcome common challenges in AI implementation.\u003c/li\u003e\u003cli\u003eBest practices for ethical and responsible AI usage.\u003c/li\u003e\u003cli\u003eReal-world examples of successful GenAI applications across various industries.\u003cbr\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3-staging.s3.us-east-2.amazonaws.com/image%202410.png\ alt\image 2410.png\ width\1280\ height\640\\u003e\u003c/p\u003e)/script>script>self.__next_f.push(1,38:T2bbb,)/script>script>self.__next_f.push(1,\u003cp\u003eEnterprises deploying cloud-native applications enjoy the flexibility and scalability of the cloud, but they also face a daunting landscape of security challenges. Cloud environments—with distributed and ephemeral resources—are constantly evolving and present a vast attack surface. This complexity leaves a lot of room for human error, potentially rendering cloud environments and applications vulnerable. In addition, modern cyber threats targeting these cloud applications are numerous, sophisticated, and relentless.\u003c/p\u003e\u003cp\u003eCloud environment misconfigurations make applications vulnerable, and attackers are eager to exploit those vulnerabilities. Because of this, enterprises depend on cloud security posture management (CSPM) to navigate these risks. CSPM is a bundle of security tools that helps enterprises ensure cloud environments are secure, compliant, and resilient in the face of cyber threats.\u003c/p\u003e\u003cp\u003eReady to break down CSPM? We’ll start with a primer on key terms to lay a foundation of understanding, and then we’ll walk through, in detail, what CSPM does and why it’s important. By the end of this article, you’ll be equipped with an understanding of the pivotal role CSPM plays in an enterprise’s cybersecurity strategy.\u003c/p\u003e\u003ch2\u003eKey terms to know\u0026nbsp;\u003c/h2\u003e\u003cp\u003eIt’s important to understand key terms that represent the core capabilities of CSPM. CSPM bundles these capabilities into a single, cohesive solution, each playing a vital role in ensuring the security and compliance of cloud environments.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eCompliance\u003c/h3\u003e\u003cp\u003eCompliance involves ensuring that the operation of your cloud environments and applications adheres to both external and internal regulatory standards related to security, data protection, and data privacy.\u003c/p\u003e\u003cp\u003eExternally, this includes various laws and regulations that may be specific to an industry (such as healthcare, with HIPAA, or financial services, with PCI DSS) or region of operation (such as the European Union, with GDPR, or California, with CCPA). Internally, organizations may have their own, unique security policies.\u003c/p\u003e\u003cp\u003eEnsuring compliance means that all aspects of cloud operations must align with these diverse and often complex sets of requirements, helping safeguard data and operations to mitigate risks of violations, legal consequences, and financial penalties.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eConfiguration management\u003c/h3\u003e\u003cp\u003eConfiguration management is the process of maintaining and managing the security settings and configurations of cloud resources. Effective configuration management helps in preventing misconfigurations, a common source of security vulnerabilities in cloud environments.\u003c/p\u003e\u003ch3\u003eContinuous monitoring\u003c/h3\u003e\u003cp\u003eContinuous monitoring is the ongoing process of scanning and assessing the current security state of your cloud environments. This proactive approach helps in detecting potential security issues and responding in real time.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eRisk assessment\u003c/h3\u003e\u003cp\u003eRisk assessment involves identifying and evaluating the potential risks that could affect cloud resources. These risks include infrastructure misconfigurations, vulnerabilities in the application source code, and more. This risk assessment step is crucial for understanding the security vulnerabilities in your cloud environments, anticipating potential threats that seek to exploit those vulnerabilities, and taking appropriate measures to mitigate them.\u003c/p\u003e\u003ch3\u003eRisk remediation\u003c/h3\u003e\u003cp\u003eAfter identifying risks, risk remediation focuses on addressing these vulnerabilities. This involves implementing measures to reduce or eliminate the impact of identified risks on cloud environments.\u003c/p\u003e\u003ch3\u003ePolicy enforcement\u003c/h3\u003e\u003cp\u003ePolicy enforcement is about implementing and maintaining security policies across cloud environments. This ensures consistent security practices and helps in preventing unauthorized access or activities that could compromise cloud security.\u003c/p\u003e\u003cp\u003eEach of these capabilities contributes to the overall effectiveness of CSPM. Now that we’ve laid this foundation, let’s walk through what CSPM does.\u003c/p\u003e\u003ch2\u003eBreaking it down\u003c/h2\u003e\u003cp\u003eWhat does a CSPM solution do? To use an analogy, you can think of CSPM like a health inspector for cloud computing. A health inspector thoroughly examines a restaurant to ensure that it follows safety and hygiene standards. After the inspection is finished, the health inspector issues a health rating and a suggested list of violations to fix in order to improve that rating.\u003c/p\u003e\u003cp\u003eCSPM works in much the same way, inspecting your cloud environments for security and compliance. At the end of the day, CSPM gives you a security risk score—called a “Risk Assessment”—much like a health rating. Some CSPM solutions (such as Panoptica) also provide a list of suggested actions you can take to improve that score. These solutions might also automatically draft the code for some of these actions in such a way that the security operations team only needs to approve it. This feature is referred to as “Risk Remediation.”\u003c/p\u003e\u003cp\u003eHowever, a significant difference between the health inspector in our analogy and CSPM is that a CSPM inspection is not periodic; its continuous. Continuous monitoring from CSPM means that—at all times—it is vigilantly checking for errors in your cloud environment and validating what youre doing in the cloud. \u0026nbsp;\u003c/p\u003e\u003cp\u003eWhat rules does CSPM check your cloud environment against? As part of its configuration management capabilities, CSPM checks for cloud misconfigurations that would either lead to a security vulnerability or non-compliance with regulations. Some examples include:\u0026nbsp;\u003c/p\u003e\u003cul\u003e\u003cli\u003eA cloud storage bucket (such as with AWS S3) that incorrectly permits public read and write access\u003c/li\u003e\u003cli\u003eA compute instance with insecure and open ports\u003c/li\u003e\u003cli\u003eAn IAM policy that is overly permissive\u003c/li\u003e\u003cli\u003eUnencrypted data storage\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eSometimes, the complexity of the cloud makes it difficult to catch misconfigurations manually. Other times, configurations of individual resources may be considered secure, but when put together present a risky setup. CSPM detects these risks by having holistic visibility into your entire cloud environment. Panoptica describe the results of its holistic findings with an “Attack Path Analysis” that shows how an attacker could exploit a particular mix of resources.\u003c/p\u003e\u003cp\u003eCSPM also carries out \u003cstrong\u003epolicy enforcement.\u003c/strong\u003e This means it is always watching to ensure new activities in your cloud do not violate your organization’s established security policies. Some CSPM solutions warn you when you are taking an action that violates policy, while others restrict you from taking the action altogether.\u003c/p\u003e\u003cp\u003eFinally, and perhaps most importantly, a CSPM provides \u003cstrong\u003erisk assessment,\u003c/strong\u003e presenting all the security risks—detected and categorized by severity and type—in a single dashboard so that you can take action. For example, CSPM might detect an SSL vulnerability related to a CVE with a high CVSS score. The dashboard would show this SSL vulnerability as network related and give it a severity level of “critical.” Or as another example, the CSPM might detect an API in your application that uses a weak password for its authentication scheme. This risk would be categorized under authentication and given a severity level of “high.” \u0026nbsp;\u003c/p\u003e\u003cp\u003eUltimately, an organization that uses CSPM has a constant pulse on its security, always able to see a “score” for how it’s doing.\u003c/p\u003e\u003cp\u003eAlongside detected risks, CSPM solutions featuring \u003cstrong\u003erisk remediation\u003c/strong\u003e provide actionable guidance on what needs to be changed in order to eliminate a vulnerability or achieve compliance.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/CSPM.png\ alt\CSPM.png\\u003e\u003c/p\u003e\u003ch3\u003eCSPM integral to the CNAPP\u003c/h3\u003e\u003cp\u003eA cloud-native application protection platform (CNAPP) is an all-in-one platform that consolidates various cybersecurity tools into a single solution. A CNAPP bundles together tools such as CSPM, static application security testing (SAST), vulnerability scanning, API security, cloud workload protection, and more.\u003c/p\u003e\u003cp\u003eCSPM is considered a major and indispensable piece of a CNAPP (see \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.panoptica.app/ebooks/market-guide-for-cloud-native-application-protection-platforms\\u003eGartner’s Market Guide for CNAPPs\u003c/a\u003e). As an integrated part of a CNAPP’s suite of security tools, CSPM can use its risk assessment findings to point security professionals to other modules in the CNAPP that can help with remediation.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eThe role of AI/ML in CSPM\u003c/h3\u003e\u003cp\u003eAI/ML also play a significant role in enhancing the capabilities of CSPM, especially within the context of a CNAPP.\u0026nbsp;\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eEnhancing threat intelligence:\u003c/strong\u003e The comprehensive visibility and continuous monitoring from CSPM are joined to AI/ML algorithms for identifying emerging threats and anomalous patterns that might go unnoticed by traditional threat detection methods.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eImproved risk prioritization: \u003c/strong\u003eAI/ML-powered attack path analysis puts individual risks (as detected by CSPM) together to determine possible attack paths, helping to determine the most critical risks across your entire cloud environment.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eAutomating incident response:\u003c/strong\u003e By automating detection and response processes, AI/ML can enable CSPM systems to react to detected security vulnerabilities immediately, without requiring human intervention.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eAdaptive security posture:\u003c/strong\u003e As cloud environments evolve, AI/ML can help CSPM solutions to adjust their security postures in real time.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eCSPM provides a proactive approach to staying secure\u003c/h2\u003e\u003cp\u003eIn the complex world of cloud-native applications and computing, evolving cyber threats and the likelihood of human error in cloud configurations are significant challenges. These misconfigurations can lead to vulnerabilities, exposing organizations to security breaches or compliance violations, which can result in business disruptions, financial losses, and legal consequences.\u003c/p\u003e\u003cp\u003eCSPM addresses these challenges by providing comprehensive visibility and continuous monitoring of your cloud environments. By assessing your cloud environments for risk and helping you prioritize and remediate those risks, CSPM gives you a proactive and automated approach to maintaining robust security in the cloud.\u003c/p\u003e\u003cp\u003ePanoptica, a leading CNAPP solution from Outshift, brings comprehensive visibility into your cloud environments and risks through its CSPM capabilities. You can read more about how \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.panoptica.app/blog/cloud-security-fortified-the-future-of-cnapp-and-cspm-solutions\\u003eCNAPP and CSPM go hand in hand\u003c/a\u003e, \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.panoptica.app/demo\\u003eschedule a live demo\u003c/a\u003e of Panoptica, or \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.panoptica.app/contact-us\\u003econtact our security experts\u003c/a\u003e today.\u0026nbsp;\u003c/p\u003e)/script>script>self.__next_f.push(1,b:\$\,\$L31\,null,{\logo\:\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/outshift-logo-text-white.svg\,\NavDropdowns\:{\id\:3,\title\:\Initiatives\,\featuredTitle\:\Recent blog posts\,\horizontalLayout\:true,\bannerTitle\:{\type\:\heading\,\level\:5,\children\:{\text\:\Get \,\type\:\text\},{\bold\:true,\text\:\more\,\type\:\text\},{\text\:\ 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Expectations\,\publishDate\:\2022-05-11T23:00:00.000Z\,\key\:\5-reasons-devops-should-integrate\,\createdAt\:\2023-11-09T08:14:41.595Z\,\updatedAt\:\2024-02-05T13:50:34.169Z\,\publishedAt\:\2024-02-05T13:50:33.957Z\,\locale\:\en\,\AGNTCY_component\:null,\section\:{\id\:2320,\content\:\$32\,\chapter\:1},\blog_authors\:{\data\:{\id\:752,\attributes\:{\Name\:\Shiv Deshmukh\,\createdAt\:\2023-11-10T08:22:08.621Z\,\updatedAt\:\2024-02-22T20:11:46.100Z\,\publishedAt\:\2023-11-10T08:22:08.363Z\,\locale\:\en\,\jobTitle\:null,\description\:null,\Avatar\:{\data\:{\id\:15281,\attributes\:{\name\:\shiv-deshmukh.jpg\,\alternativeText\:null,\caption\:null,\width\:262,\height\:262,\formats\:{\thumbnail\:{\ext\:\.jpg\,\url\:\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/thumbnail_shiv-deshmukh.jpg\,\hash\:\thumbnail_shiv-deshmukh\,\mime\:\image/jpeg\,\name\:\thumbnail_shiv-deshmukh.jpg\,\path\:null,\size\:6.5,\width\:156,\height\:156}},\hash\:\shiv-deshmukh\,\ext\:\.jpg\,\mime\:\image/jpeg\,\size\:15.32,\url\:\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/shiv-deshmukh.jpg\,\previewUrl\:null,\provider\:\aws-s3\,\provider_metadata\:null,\createdAt\:\2024-02-22T20:11:38.157Z\,\updatedAt\:\2024-02-22T20:11:38.157Z\}}},\blogs\:{\data\:{\id\:2312,\attributes\:{\title\:\Setup AQUA (Advanced Query Accelerator) for Amazon Redshift\,\publishDate\:\2022-07-20T23:00:00.000Z\,\key\:\setup-aqua-for-amazon-redshift\,\createdAt\:\2023-11-09T08:11:19.149Z\,\updatedAt\:\2025-06-17T17:46:17.622Z\,\publishedAt\:\2024-02-05T13:50:11.948Z\,\locale\:\en\,\AGNTCY_component\:null}},{\id\:2300,\attributes\:{\title\:\Transferring Data with AWS Data Sync\,\publishDate\:\2022-06-08T23:00:00.000Z\,\key\:\transferring-data-with-aws-data-sync\,\createdAt\:\2023-11-09T08:17:52.906Z\,\updatedAt\:\2025-06-17T17:45:56.283Z\,\publishedAt\:\2024-02-05T13:50:05.348Z\,\locale\:\en\,\AGNTCY_component\:null}},{\id\:2307,\attributes\:{\title\:\Optimize Your Data Pipeline with Apache Airflow and Great Expectations\,\publishDate\:\2022-04-20T23:00:00.000Z\,\key\:\optimize-your-data-pipeline-with-apache-airflow-and-great-expectations\,\createdAt\:\2023-11-09T08:12:35.094Z\,\updatedAt\:\2025-06-17T17:45:35.192Z\,\publishedAt\:\2024-02-05T13:50:09.143Z\,\locale\:\en\,\AGNTCY_component\:null}},{\id\:2348,\attributes\:{\title\:\Data Migration 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\}}},\$\,\div\,\1\,{\className\:\mb-4\,\children\:\$L3c\,\$L3d\,\$L3e\},\$L3f\}},\$L40\,\$L41\},\$L42\}\n)/script>script>self.__next_f.push(1,3a:\$\,\div\,null,{\className\:\my-12 sm:mx-auto lg:my-24\}\n)/script>script>self.__next_f.push(1,3b:\$\,\div\,null,{\className\:\flex flex-col gap-6 lg:flex-row lg:items-center lg:justify-between\,\children\:\$\,\div\,null,{\className\:\mt-4 flex flex-col sm:mt-0 sm:justify-center lg:flex-row lg:space-x-5\,\children\:\$\,\div\,\0\,{\children\:\$\,\$L20\,null,{\href\:\https://www.cisco.com/c/en/us/about/legal/terms-conditions.html\,\target\:\_blank\,\children\:\Website Terms of Use\,\className\:\cursor-pointer inline-flex items-center justify-center tracking-wider transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-slate-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-slate-300 underline-offset-4 hover:underline h-9 py-18px rounded-4px px-0 text-sm font-thin text-gray-200 sm:text-center\,\ref\:null,\aria-label\:\Website Terms of Use\}},\$\,\div\,\1\,{\children\:\$\,\$L20\,null,{\href\:\https://www.cisco.com/c/en/us/about/legal/privacy-full.html\,\target\:\_blank\,\children\:\Privacy Policy\,\className\:\cursor-pointer inline-flex items-center justify-center tracking-wider transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-slate-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-slate-300 underline-offset-4 hover:underline h-9 py-18px rounded-4px px-0 text-sm font-thin text-gray-200 sm:text-center\,\ref\:null,\aria-label\:\Privacy Policy\}},\$\,\div\,\2\,{\children\:\$\,\$L30\,null,{}},\$\,\div\,\3\,{\children\:\$\,\$L20\,null,{\href\:\https://www.cisco.com/c/en/us/about/legal/trademarks.html\,\target\:\_blank\,\children\:\Trademarks\,\className\:\cursor-pointer inline-flex items-center justify-center tracking-wider transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-slate-950 disabled:pointer-events-none disabled:opacity-50 dark:focus-visible:ring-slate-300 underline-offset-4 hover:underline h-9 py-18px rounded-4px px-0 text-sm font-thin text-gray-200 sm:text-center\,\ref\:null,\aria-label\:\Trademarks\}}},\$\,\span\,null,{\className\:\text-sm font-thin text-gray-200 lg:text-center\,\children\:\©2025 Cisco Systems, Inc.\}}\n)/script>script>self.__next_f.push(1,43:T133e,)/script>script>self.__next_f.push(1,Data pipelines can present numerous challenges for DevOps. This is because the more data pipelines you work with, the higher the risk that your data will become difficult to manage.\n\nAs we know, data is not static. It changes constantly, and it must be validated continuously to ensure that data quality issues don’t destroy whichever pipelines you are feeding your data through. You must also be able to react quickly to problems with your data in order to avoid disrupting workflows.\n\u003ch2\u003eIntroducing Great Expectations and Apache Airflow\u003c/h2\u003e\nFortunately, the open source community has built some great tools to solve this challenge.\n\nOne is\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://greatexpectations.io/\\u003eGreat Expectations\u003c/a\u003e, an open-source software used for vetting data quality. Great Expectations data validation helps teams avoid bad data propagate in the pipeline through data testing, documentation and profiling.\n\u003cdiv\u003e\n\n\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/5-reasons-devops-should-integrate/1.png\ alt\Introducing_Great_Expectations_and_Apache_Airflow\ width\676\ height\320\\u003e \u003cspan\u003e\u003c/span\u003e\n\n\u003cfigcaption\u003eGreat Expectations in a real-world data pipeline.\u003c/figcaption\u003e\u003c/div\u003e\nAnother tool is\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://airflow.apache.org/\\u003eApache Airflow\u003c/a\u003e, which lets you programmatically author, schedule and monitor data workflows. Airflow provides an orchestration and management framework for integrating data pipelines with DevOps tasks. It supports any type of mainstream environment – containers, public cloud, VMs and so on.\n\nYou can use Great Expectations and Airflow separately. But to maximize your ability to keep your data pipelines moving efficiently, you should integrate these tools together. Here are 5 reasons these tools should be integrated.\n\u003ch2\u003eCatch data issues early on\u003c/h2\u003e\nThe concept of\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://devops.com/devops-shift-left-avoid-failure/\\u003e“shifting left”\u003c/a\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e– which means catching issues early, when they are easier to resolve – is central to the DevOps methodology.\n\nIntegrating Great Expectations and Airflow helps DevOps teams apply this principle to data pipelines. It lets you identify issues earlier in the pipeline, ensuring that only validated data is passed into the next stage of the workflow. Instead of waiting to discover that data quality issues have broken your workflow, you can detect and resolve them as early as possible, significantly increasing efficiency.\n\u003ch2\u003eAchieve greater precision\u003c/h2\u003e\nBy using Great Expectations and Airflow together, you can see exactly where in a workflow data issues lie. In turn, you can fix the data efficiently. Instead of having to guess how low-quality data impacts your workflow, you can pinpoint the relationship between problematic data and workflow tasks, then remedy it directly. This means that the workflow will proceed smoothly as planned without being impacted by data-quality issues\n\u003ch2\u003eAvoid pipeline-wide searches\u003c/h2\u003e\nThe Airflow dashboard displays each particular task and task failure automatically. That means there is no need to search through your entire pipeline when troubleshooting workflow issues or understanding the state of data within your workflow. By automatically identifying exactly where the data issue lies, you can take the appropriate steps to remedy it in a timely manner.\n\u003ch2\u003eMinimize failure risks\u003c/h2\u003e\nWhen you use Great Expectations and Airflow together, you can be confident that each new step in your workflow will be executed only after the data it depends on has been validated from a quality perspective.\n\nThis means you can limit the potential for failure and clean up errors that would result in incorrect data filtering through your directed acyclic graph (DAG).\n\u003ch2\u003eCreate scalable pipelines\u003c/h2\u003e\nData pipelines built with Airflow are highly scalable, and Great Expectations data validation helps you double-down on scalability, no matter how much data you have to work with.\n\nSo, no matter the quantity of your data, Airflow and Great Expectations ensure that you can operate efficiently and at scale.\n\u003ch2\u003eConclusion\u003c/h2\u003e\nAlthough integration between Great Expectations data validation and Apache Airflow is relatively new, there are excellent reasons to use the tools in tandem. Doing so exponentially increases the value that you could achieve by using either tool on its own. By automatically validating data in your pipeline, you ensure that DevOps time is used more efficiently, rather than having to manually check for data quality issues. This allows you to focus more on development, rather than worrying about data quality in the pipelines.\n\nLearn how to integrate the tools in this\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003ca href\https://techblog.cisco.com/blog/optimize-your-data-pipeline-with-apache-airflow-and-great-expectations\\u003eblog post\u003c/a\u003e, which walks through the process step-by-step.)/script>script>self.__next_f.push(1,44:T3421,)/script>script>self.__next_f.push(1,\u003cp\u003eAs the cloud data warehouse in AWS, Amazon Redshift provides seamless integration with other storages, such as Amazon S3. It enables a very cost-effective data warehouse solution, where the user can keep warm data in Amazon Redshift storage and cold data in S3 storage. The user can access the S3 data from Redshift in the same way, retrieving data from the Redshift storage itself. This blog post explains the process for doing just that.\u003c/p\u003e\u003ch2\u003eStep 1: Pre-Requisite\u003c/h2\u003e\u003cp\u003eYou need to have an AWS account with administrative access.\u003c/p\u003e\u003ch2\u003eStep 2: Create S3 Bucket and Upload Sample .csv File\u003c/h2\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-1.png\ alt\Create S3 Bucket and Upload Sample .csv File\ width\936\ height\482\ title\Create S3 Bucket and Upload Sample .csv File\\u003e In this example, I uploaded a .csv file with data about specific countries. The\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003ecountrydata.csv\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003efile looks like this: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-2.png\ alt\countrydata.csv\ width\644\ height\294\ title\countrydata.csv\\u003e\u003c/p\u003e\u003ch2\u003eStep 3: Create IAM Role\u003c/h2\u003e\u003cp\u003eYour IAM Role for the Redshift cluster will be used to provide access to the data in the S3 bucket. Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eCreate Role\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003ein the IAM console, select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eAWS service\u003c/strong\u003e. Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eChoose a use case,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eselect\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eRedshift.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-3.png\ alt\Create IAM Role\ width\940\ height\684\ title\Create IAM Role\\u003e Next, under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eSelect your use case,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003echoose\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eRedshift — Customizable.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-4.png\ alt\Select your use case, choose Redshift — Customizable.\ width\940\ height\232\ title\Select your use case, choose Redshift — Customizable.\\u003e Under\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eAttach permissions policies\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eselect PowerUserAccess. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-5.png\ alt\Attach permissions policies\ width\940\ height\774\ title\Attach permissions policies\\u003e Next, create a role name and description. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-6.png\ alt\create a role\ width\940\ height\756\ title\create a role\\u003e At the end of all four steps, the summary page will show the details of the role created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-7.png\ alt\summary page\ width\940\ height\634\ title\summary page\\u003e\u003c/p\u003e\u003ch2\u003eStep 4: Launch Redshift Cluster\u003c/h2\u003e\u003cp\u003eIn this step, you’ll launch a Redshift cluster, which will be used to query the S3-based data. Go to Redshift Management Console and click on the\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eCreate cluster\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003ebutton. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-8.png\ alt\Launch Redshift Cluster\ width\940\ height\660\ title\Launch Redshift Cluster\\u003e Select an identifier for the cluster and select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eFree trial.\u003c/strong\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-9.png\ alt\cluster and select Free trial\ width\940\ height\704\ title\cluster and select Free trial\\u003e\u003c/p\u003e\u003cblockquote\u003e\u003cp\u003eNote: Free trial (dc2.large) doesn’t allow cross-dBs queries. For initiating cross-dBs queries, the minimum requirement is to use paid instances of the ra3.xlplus node type.\u003c/p\u003e\u003c/blockquote\u003e\u003cp\u003eKeep default database configurations, using a master username and master user password. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-10.png\ alt\database configurations\ width\940\ height\708\ title\database configurations\\u003e You’ll now see the cluster you’ve created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-11.png\ alt\cluster\ width\940\ height\606\ title\cluster\\u003e Associate cluster with the role created in step 3. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-12.png\ alt\role created in step 3\ width\938\ height\652\ title\role created in step 3\\u003e You’ll see a summary of what you’ve created in the view shown below. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-13.png\ alt\summary of what you’ve created\ width\940\ height\646\ title\summary of what you’ve created\\u003e On the left-hand menu, select\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003eEditor\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eusing the options in the screenshot below to connect your cluster to the database you just created. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-14.png\ alt\Editor\u0026nbsp;using the options\ width\940\ height\646\ title\Editor\u0026nbsp;using the options\\u003e\u003cspan\u003e!(/assets/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/1-N0mE6uwIyjQFDdC29JwTfg.png)\u003c/span\u003e\u003c/p\u003e\u003ch2\u003eStep 5: Insert Data in Redshift Database\u003c/h2\u003e\u003cp\u003eIn this step, you’ll create a new schema in the Redshift cluster database and then create a table in the schema using the S3-based data. This table will be used to access data from the S3 bucket. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-15.png\ alt\Insert Data in Redshift Database\ width\940\ height\646\ title\Insert Data in Redshift Database\\u003e\u003cspan\u003e!(/assets/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/1-4fQ2z-Tzc6XRRWXntHLfRw.png)\u003c/span\u003e In the Editor view, enter the following code in the query editor:\u003c/p\u003e\u003cdiv\u003e\u003cpre\u003e\u003ccode class\language-plaintext\\u003ecreate external schema trellisdataschema\nfrom data catalog\ndatabase ‘dev’\niam_role ‘arn:aws:iam::YYYYYYYYYYYY:role/trellis-yyyyyy-role’\ncreate external database if not exists;\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-16.png\ alt\Insert Data in Redshift Database_2\ width\940\ height\646\ title\Insert Data in Redshift Database_2\\u003e Next, enter code to create a table for that schema using the data from your .csv file stored in the S3 bucket:\u003c/p\u003e\u003cdiv\u003e\u003cpre\u003e\u003ccode class\language-plaintext\\u003ecreate external table trellisdataschema.countrycapitals(\n\ncountry nvarchar(100),\n\ncapital nvarchar(100)\n\n)\n\nrow format delimited\n\nfields terminated by ‘,’\n\nstored as textfile\n\nlocation ‘s3://trellis-redshift-s3’;\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-17.png\ alt\Amazon Redshift_ Query editor\ width\940\ height\640\ title\Amazon Redshift_ Query editor\\u003e The newly-created schema and table will now show up in the Resources view: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-18.png\ alt\Amazon Redshift_Query editor\ width\386\ height\712\ title\Amazon Redshift_Query editor\\u003e\u003c/p\u003e\u003cp style\text-align:justify;\\u003eNow whenever you run a SQL query, you’ll fetch data from the table that you created, which fetches from the S3 bucket:\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-19.png\ alt\Amazon Redshift_Query editor\ width\940\ height\596\ title\Amazon Redshift_Query editor\\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-20.png\ alt\Rows returned\ width\892\ height\652\ title\Rows returned\\u003e\u003c/p\u003e\u003ch2\u003eRunning Cross-Database Queries\u003c/h2\u003e\u003cp\u003eIn order to execute a cross-database query, you need to upgrade your node type to ra3.xlplus: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-21.png\ alt\Running Cross-Database Queries\ width\932\ height\374\ title\Running Cross-Database Queries\\u003e Next, create the database\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev1\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-22.png\ alt\create the database dev1\ width\940\ height\568\ title\create the database dev1\\u003e Now create the table —\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003epopulation\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-23.png\ alt\Now create the table —\u0026nbsp;population\ width\940\ height\574\ title\Now create the table —\u0026nbsp;population\\u003e Create a respective schema for db ‘dev1’: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-23.png\ alt\Create a respective schema for db ‘dev1’\ width\940\ height\574\ title\Create a respective schema for db ‘dev1’\\u003e Insert data into this table: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-24.png\ alt\Insert data into this table\ width\940\ height\574\ title\Insert data into this table\\u003e Run the query to display your inserted data. \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-25.png\ alt\Run the query to display your inserted data\ width\940\ height\618\ title\Run the query to display your inserted data\\u003e Create a second database and table, following the steps above. Create the database\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev2\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-26.png\ alt\Create the database\u0026nbsp;dev2\ width\940\ height\570\ title\Create the database\u0026nbsp;dev2\\u003e Create the table\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003ecurrency\u003c/strong\u003e: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-27.png\ alt\Create the table currency:\ width\940\ height\572\ title\Create the table currency:\\u003e Create respective schema for db ‘dev2’: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-28.png\ alt\Create respective schema for db ‘dev2’\ width\940\ height\574\ title\Create respective schema for db ‘dev2’\\u003e Insert your data: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-29.png\ alt\Insert your data\ width\940\ height\574\ title\Insert your data\\u003e Run your query to display your data: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-30.png\ alt\Run your query to display your data\ width\940\ height\672\ title\Run your query to display your data\\u003e Now that we have three DBs created (\u003cstrong\u003edev,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev1,\u003c/strong\u003e\u003cspan\u003e\u0026nbsp;\u003c/span\u003eand\u003cspan\u003e\u0026nbsp;\u003c/span\u003e\u003cstrong\u003edev2\u003c/strong\u003e) with their respective schemas in Redshift, we can run cross-database queries between these three databases: \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-31.png\ alt\respective schemas in Redshift\ width\940\ height\670\ title\respective schemas in Redshift\\u003e \u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/access-s3-data-in-amazon-redshift-using-redshift-spectrum/Redshift-img-32.png\ alt\respective schemas in Redshift_2\ width\940\ height\670\ title\respective schemas in Redshift_2\\u003e\u003c/p\u003e)/script>script>self.__next_f.push(1,45:T4a1e,)/script>script>self.__next_f.push(1,\u003cp\u003eData center networks are experiencing a significant surge in the demand for resources due to the rapid growth of AI/ML applications. ChatGPT has rapidly emerged as one of the fastest-growing applications, and its core technology, known as Large Language Models (LLM), has garnered significant attention in various research areas, including networking.\u003c/p\u003e\u003cp\u003eTraining LLMs with trillions of parameters demands substantial AI acceleration resources, such as GPUs. With the continuous growth in LLM size and the slowdown of Moores Law, theres a need to connect GPUs together to form a high-capacity GPU cluster, such as \u003ci\u003eNVIDIA\u003c/i\u003e DGX SuperPOD™ (see 2 in References), to meet these requirements. During LLM training, we must execute stochastic gradient descent (SGD) iterations and make efficient use of both data and model parallelism by seamlessly transferring data between GPUs to achieve the computationally intensive LLM training within a reasonable timeframe. This presents an intriguing, yet challenging, \u0026nbsp;task for data center networking technology.\u003c/p\u003e\u003ch2\u003ePrerequisites for transferring data between GPUs to support LLM training\u0026nbsp;\u003c/h2\u003e\u003cp\u003eOne central issue we aim to address is the following: \u0026nbsp;\u003c/p\u003e\u003cp\u003eHow can we efficiently transport LLM workload data from one GPU to another in a distributed LLM training setup? \u0026nbsp;\u003c/p\u003e\u003cp\u003eIt can be further divided into the following important problems:\u0026nbsp;\u003c/p\u003e\u003col\u003e\u003cli\u003eIs it possible to develop a generalized LLM workload routing mechanism that can leverage the underlying LLM cluster network topology while remaining agnostic to specific proprietary interconnection technologies, like NVLink and InfiniBand?\u003cbr\u003e\u003cbr\u003eSince LLM workload is a relatively new application for data center networking and it has its unique combination of network inter-connections technologies and topologies (See 2 in References), we need to first come up with a common model that takes advantage of the unique characteristics of LLM/DNN (Deep Neural Networks).\u003c/li\u003e\u003cli\u003eCan we define simple metrics to capture traffic conditions that facilitate efficient routing decisions? Ideally, these metrics should capture the essence of L2/L3 data traffic between GPUs, be generic, and yet hide these internal proprietary topologies so that our model will be generic and not tied to a specific vendor or version of the current LLM training setups. Furthermore, the data forwarding decision should be simple, not involving heavy computation in real-time. In addition, the mechanism should be dynamic, as the traffic pattern within those hyper-bandwidth domains (such as those circuit-switching connections with NVLinks) and RDMA capable connections (such as InfiniBand, RoCEv2, or Ultra Ethernet connections) is ever-changing.\u003c/li\u003e\u003cli\u003eIs it feasible to devise a mechanism that allows globally optimal end-to-end routing decisions to be determined solely based on the source GPU and destination GPU, or must it rely on intermediate components as well, thus requiring locally optimal routing decisions to be made on a hop-by-hop basis?\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eHere, we present a general network model with generalized routing metrics designed for data centers tailored to LLM training. This model is built upon high-bandwidth GPU domains interconnected by optimized rails. We utilize a global distributed registry to collect and distribute normalized traffic health scores for each domain and a sorted list of health scores for all rails. These scores are then employed to efficiently calculate network path traffic scores. \u0026nbsp;\u003c/p\u003e\u003cp\u003eAdditionally, we introduce a health ratio metric for each GPU, facilitating the efficient determination of LLM traffic routing decisions based solely on the source and destination health ratios. We find that that the optimal path from the source to the destination only depends on whether the ratio metric of the source is larger than the destination or not, regardless of the intermediate nodes in between, which facilitates efficient AI traffic routing between GPUs. \u0026nbsp;\u003c/p\u003e\u003cp\u003eOur approach can be uniformly applied to different types of LLM traffic, including intra-domain traffic, same-rail traffic, and across-rail traffic. Furthermore, we extend this mechanism to determine the optimal utilization of remote rails for routing traffic when local rails become congested.\u003c/p\u003e\u003ch2\u003eDetailed description: Using rail-only connections to create a novel AI/ML-workload routing architecture optimized for LLM training\u0026nbsp;\u003c/h2\u003e\u003cp\u003eIn the following discussion, we will use a state-of-the-art underlying network connection architecture known as “rail-only connections” (see 2 in References for details and benefits) as our reference network topology. Rail-only connection topology was proposed by researchers from MIT and Meta. It is optimized for LLM training workloads in a data center. Our results can also be extended to a traditional fat-tree Clos data center network architecture, which is supported in legacy data center networking solution.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.29.16%E2%80%AFPM.png\ alt\A LLM cluster with Rail-only connections\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eIn this topology (Figure 1), we have \u003ci\u003eM\u003c/i\u003e high-bandwidth domains, each of which contains \u003ci\u003eK\u003c/i\u003e GPUs with high-speed any-to-any interconnections (such as NVLink/NVSwitch) and K rail switches. Each rail switch, or simply rail, connects the M GPUs with the same order number (referred to as ranking) within each domain.\u003c/p\u003e\u003cp\u003eLet \u003ci\u003eG(d, g)\u003c/i\u003e represent the \u003ci\u003eg-th\u003c/i\u003e GPU in domain \u003ci\u003ed\u003c/i\u003e. To support distributed DNN (Deep Neural Networks) training and inference with SGD iteration and parallelization strategies, each GPU has two types of network connections: one, referred to as \\u003ci\u003ed\u003c/i\u003e-interface,” \u0026nbsp;facilitates any-to-any interconnect within a high-bandwidth domain, while the other, referred to as “\u003ci\u003er\u003c/i\u003e-interface,” is a RDMA-capable NIC connected to a rail switch. Our goal is to efficiently move LLM workloads between GPUs. In essence, we aim to address the following question: \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003ci\u003e\u003cstrong\u003eHow we can efficiently route LLM traffic from the source GPU G1 (G(d1, g1)) to target GPU G2 (G(d2, g2))?\u003c/strong\u003e\u003c/i\u003e\u003c/p\u003e\u003cp\u003eLet us first tackle this from the simple cases to more involved ones:\u0026nbsp;\u003c/p\u003e\u003cp\u003eCase 1: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in the same domain, that is, d1 d2. In that case, we should just use \u003ci\u003eG1\u003c/i\u003e’s d-interface to utilize the high-bandwidth interconnect (yellow traffic in Figure 2).\u003c/p\u003e\u003cp\u003eCase 2: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in different domains, but they are on the same rail, i.e., \u003ci\u003eg1 g2.\u003c/i\u003e In that case, we can typically use \u003ci\u003eG1\u003c/i\u003e’s r -interface to route the traffic to \u003ci\u003eG2\u003c/i\u003e (\u003ci\u003egreen traffic in Figure 2\u003c/i\u003e). We will discuss some intricacy when the corresponding rail switch is busy.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.29.29%E2%80%AFPM.png\ alt\Rail traffic\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eCase 3: \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e are in different domains and on different rails. \u0026nbsp;\u003c/p\u003e\u003cp\u003eThis is a bit involved as at least two hops would be needed to reach \u003ci\u003eG2\u003c/i\u003e from \u003ci\u003eG1\u003c/i\u003e. We can either take the \u003ci\u003ed\u003c/i\u003e-interface first, route the traffic to \u003ci\u003eG(d1, g2)\u003c/i\u003e within the same domain d1 as the next hop, and from there take the \u003ci\u003er\u003c/i\u003e-interface to reach \u003ci\u003eG2\u003c/i\u003e. Let us call this \u003ci\u003edr\u003c/i\u003e-path (Figure 3). \u0026nbsp;\u003c/p\u003e\u003cp\u003eAlternatively, we can also take \u003ci\u003er\u003c/i\u003e-interface to route the traffic to \u003ci\u003eG(d2, g1)\u003c/i\u003e in domain \u003ci\u003ed2\u003c/i\u003e, and then use the \u003ci\u003ed\u003c/i\u003e-interface to reach \u003ci\u003eG2\u003c/i\u003e within domain \u003ci\u003ed2\u003c/i\u003e. We will call this path \u003ci\u003erd\u003c/i\u003e-path (Figure 4).\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.01%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.01 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.09%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.09 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eWhich route to take depends on the dynamic traffic conditions within the LLM cluster. Next, we will develop an LLM cluster traffic condition model to capture and update the traffic conditions in a cohesive manner, enabling the creation of an efficient LLM workload routing mechanism. \u0026nbsp;\u003c/p\u003e\u003cp\u003eWe will begin by introducing several metrics used to represent the traffic condition of components within the LLM cluster. These metrics are referred to as ”traffic health scores” or simply ”health-scores,” denoted as ”h-scores,\ for LLM domains or rails. H-scores are integer values ranging from 0 to 100, where 100 represents 100% healthy, indicating no congestion in the domain or on the rail, while 0 signifies 0% healthy, indicating complete blockage of the concerned component.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eRail and Domain traffic h-score\u003c/h3\u003e\u003cp\u003eThere should be a distributed observability/monitoring architecture in place within the LLM cluster. This architecture includes a cluster controller or master node responsible for running a global traffic monitoring service, which well refer to as \\u003ci\u003ehealthd\u003c/i\u003e.” Each rail switch or interconnection domain should monitor and collect its traffic load, periodically sending reports to ”\u003ci\u003ehealthd\u003c/i\u003e.” \u0026nbsp;”\u003ci\u003ehealthd\u003c/i\u003e” will then consolidate and normalize the data from all rails and domains. It assigns a value between 0% and 100% as the traffic health score and stores this information in a global registry (such as \u003ci\u003eetcd \u003c/i\u003ein a Kubernetes cluster, Apache ZooKeeper, or Consul). Note that our mechanism is independent of any specific health score calculation mechanism as congestion detection can be platform specific, such as ECN/PFC or DCQCN. Also please note that \u003ci\u003eh-score\u003c/i\u003e collection and distribution occur in the control plane and do not affect real-time traffic routing or forwarding speed in the data plane. Additionally, traffic trending takes time, so distributed calculation of \u003ci\u003eh-scores\u003c/i\u003e does not have to be real-time. \u0026nbsp;\u003c/p\u003e\u003cp\u003eAdditionally, each GPU syncs up with the global registry and maintains a local registry cache, allowing each GPU to query the health score of a specific rail “\u003ci\u003er\u003c/i\u003e” as \u003ci\u003eH(r)\u003c/i\u003e or the health score of a domain \\u003ci\u003ed\u003c/i\u003e\ as \u003ci\u003eH(d)\u003c/i\u003e at any given time. After normalization, we have \u003ci\u003e0 \u0026lt; H(r) \u0026lt; 1\u003c/i\u003e and \u003ci\u003e0 \u0026lt; H(d) \u0026lt; 1\u003c/i\u003e. A lower health score value represents a more congested condition.\u0026nbsp;\u003c/p\u003e\u003cp\u003eA network path p in an LLM cluster is a sequence of concatenated domain/rail components, denoted as \u003ci\u003ep c1°c2° … Cm. \u003c/i\u003eWe will denote each component c in the path as \u003ci\u003ec ∈ p.\u003c/i\u003e\u003c/p\u003e\u003cp\u003eNow we can define the \u003ci\u003eh-score\u003c/i\u003e of a network path \u003ci\u003ep\u003c/i\u003e as the product of the \u003ci\u003eh-score\u003c/i\u003e of each segment it traverses.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg class\image_resized\ style\aspect-ratio:undefined/undefined;width:51.12%;\ src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.30.44%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.30.44 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eWith this formula, when one component’s health-score decreases, the path’s health-score decreases proportionally. Since all the components are chained in sequence, when one component’s health score is nearly zero (blocked), the whole path’s health-score would be zero (blocked) as well. When all components’ health scores are 1 (100% healthy), the whole path’s health-score would be 1 (100% healthy). Therefore, this simple formula reasonably simulates the traffic condition of the routing path.\u003c/p\u003e\u003cp\u003eFor instance, in Case 1, since the path between \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2\u003c/i\u003e only travels through domain \u003ci\u003ed\u003c/i\u003e, its health-score is also \u003ci\u003eH(d)\u003c/i\u003e. In Case 2, the path between \u003ci\u003eG1\u003c/i\u003e and \u003ci\u003eG2 \u003c/i\u003eonly travels through rail \u003ci\u003er\u003c/i\u003e, its health-score is \u003ci\u003eH(r)\u003c/i\u003e. If a path travels domain \u003ci\u003ed1\u003c/i\u003e first, then goes through rail \u003ci\u003er1\u003c/i\u003e to go to domain \u003ci\u003ed2\u003c/i\u003e, then reach the destination GPU via domain \u003ci\u003ed2\u003c/i\u003e, then this 3-hop path’s health-score is \u003ci\u003eH(d1) * H(r1) * H(d2)\u003c/i\u003e. Note that if the destination connected directly to rail \u003ci\u003er1\u003c/i\u003e, then the domain traffic condition should not be involved in the path health-score calculation, so \u003ci\u003eH(p) H(d1) * H(r1)\u003c/i\u003e. \u0026nbsp;\u003c/p\u003e\u003ch3\u003eGPU’s Rail/Domain traffic h-ratio\u003c/h3\u003e\u003cp\u003eBesides \u003ci\u003eh-score\u003c/i\u003e, we will introduce another crucial metric, heath-ratio, or h-ratio, \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e, for each \u003ci\u003eGPU G(d, g)\u003c/i\u003e in the cluster, \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e \u003ci\u003e(G (d, g)) H(g)/H(d).\u003c/i\u003e\u003c/p\u003e\u003cp\u003eWe assume a LLM domain will never reach 0 otherwise the corresponding GPU’s \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e value is infinite, which means the domain is completely blocked so we cannot perform any LLM operations there. \u0026nbsp;\u003c/p\u003e\u003ch3\u003eA dynamic routing congestion model\u003c/h3\u003e\u003cp\u003eNow we can determine the route in G1 in Case 3 easily with the h-ratio metric introduced above (see Figure 5):\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg class\image_resized\ style\aspect-ratio:undefined/undefined;width:89.39%;\ src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.31.12%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.31.12 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003cp\u003eTo verify the correctness of this approach, we know that when we choose GPU1’s r-interface as next hop, its path p1 can be represented as \u003ci\u003ep1 g1°d2\u003c/i\u003e, the other choice, p2, can be represented as \u003ci\u003ep2 d1°g2\u003c/i\u003e. So, we have \u003ci\u003eH(p1) H(g1)*H(d2)\u003c/i\u003e, and \u003ci\u003eH(p2) H(d1)*H(g2)\u003c/i\u003e. Since we have \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e (G1) \u0026gt; \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e (G2), by definition of \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾\u003c/span\u003e\u003c/span\u003e, we have \u003ci\u003eH(g1) / H(d1) \u0026gt; H(g2)\u003c/i\u003e / \u003ci\u003eH(d2)\u003c/i\u003e, that is \u003ci\u003eH(g1)*H(d2) \u0026gt; H(g2)*H(d1)\u003c/i\u003e\u003c/p\u003e\u003cp\u003eso \u003ci\u003eH(p1) H(g1)*H(d2) \u0026gt; H(d1)*H(g2) H(p2)\u003c/i\u003e, so we can choose the path with higher h-score. \u0026nbsp;\u003c/p\u003e\u003cp\u003eIn other words, when destination GPU’s h-ratio is lower than the source GPU’s h-ratio, we will choose r-interface when we move LLM workload downstream in terms of h-ratio, and choose d-interface when we move LLM workload upstream in terms of h-ratio.\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-02-22%20at%205.31.26%E2%80%AFPM.png\ alt\Screenshot 2024-02-22 at 5.31.26 PM.png\ width\undefined\ height\undefined\\u003e\u003c/p\u003e\u003ch2\u003eConclusions\u0026nbsp;\u003c/h2\u003e\u003cp\u003eWe propose a novel AI/ML-workload routing architecture with generalized traffic condition metrics on a state-of-the-art DC network topology for generative AI training, such as LLM.\u003c/p\u003e\u003col\u003e\u003cli\u003eThe “\u003ci\u003eh-score\u003c/i\u003e” metric captures the traffic health (or congestion) condition trending of high-bandwidth domains and rail switches. It can be used to derive the traffic condition of an end-to-end path within a rail-only topology, forming a self-consistent, intuitive, and efficient-to-implement model. \u0026nbsp;\u003c/li\u003e\u003cli\u003eWe also introduce a metric, \u003cspan style\background-color:transparent;color:#000000;font-family:Arial,sans-serif;font-size:11pt;\\u003e\u003cspan style\font-style:normal;font-variant:normal;font-weight:400;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;\\u003e𝛾 \u003c/span\u003e\u003c/span\u003e(gamma), representing the health ratio of the pair of the interfaces on each GPU. We find that the optimal path can be determined based on whether the metric of the source GPU and that of destination GPU is increasing or decreasing, regardless of the intermediate nodes traversed. This finding significantly simplifies the routing decision and enables efficient workload movement under dynamic traffic conditions.\u003c/li\u003e\u003cli\u003eTo ensure data-plane routing efficiency, we introduce a distributed registry to store h-scores for domains and rails, as well as derived \u003ci\u003eh-ratios\u003c/i\u003e for GPUs in the cluster. This information is stored both at global level in a DC controller and in local GPU as a registry cache on the control plane.\u003c/li\u003e\u003cli\u003eOur method relies on extracted \u003ci\u003eh-core\u003c/i\u003e values for each rail/domain in an LLM cluster, making it independent of the internal interconnect topology and implementation of the domain and rail. \u0026nbsp;\u003c/li\u003e\u003cli\u003eOur mechanism is also independent of the h-score and congestion detection algorithms which can use ECN/PFC, DCQCN, or any other platform specific methods.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eNavigating AI in your enterprise? Learn more about \u003ca target\_blank\ rel\noopener noreferrer\ href\https://outshift.cisco.com/ai\\u003ehow Outshift is empowering enterprises through AI\u003c/a\u003e.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eReferences:\u003c/strong\u003e\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://docs.nvidia.com/https:/docs.nvidia.com/dgx-superpod-reference-architecture-dgx-h100.pdf\\u003eNvidia dgx superpod: Next generation scalable infrastructure for ai leadership, reference architecture, 2023.\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://arxiv.org/pdf/2307.12169.pdf\\u003e“How to Build Low-Cost Networks for Large Language Models (Without Sacrificing Performance)?”\u003c/a\u003e A paper on an efficient networking architecture for GPU/LLM, 2023.\u003c/li\u003e\u003cli\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://engineering.purdue.edu/~ychu/publications/infocom13_pktspray.pdf\\u003e“On the Impact of Packet Spraying in Data Center Networks.”\u003c/a\u003e A paper on packet spraying in Data Center Networks.\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e)/script>script>self.__next_f.push(1,46:T32e8,)/script>script>self.__next_f.push(1,\u003cp class\Paragraph SCXW85093987 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-variant-caps:normal;font-weight:normal;letter-spacing:normal;margin:0px 0px 10.6667px;orphans:auto;overflow-wrap:break-word;padding:0px;text-align:left;text-decoration:none;text-indent:0px;text-transform:none;vertical-align:baseline;white-space:pre-wrap;widows:auto;word-spacing:0px;\ paraid\819435884\ paraeid\{d57b0692-2e41-49d7-8747-15bc1873cbf6}{128}\\u003e\u0026nbsp;\u003c/p\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003cp class\text-lg py-2\\u003eOutshift by Cisco is a diverse melting pot of talent with a plethora of expertise and foresight into what’s next and new in the technology industry. Papi Menon not only has several decades of product knowledge gained from his leadership experience at incredible companies such as HashiCorp, GitHub, MuleSoft, and Docker, but also in building emerging technologies across cloud native application security and generative AI. He brings his swagger that unites people to build businesses, tackle new markets, and encourages teams to dream bigger.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eMenon is the chief product officer and vice president of product management for Outshift by Cisco, whose charter is to discover the next transformational business opportunity for Cisco by incubating emerging technologies and serving new markets and personas. At Outshift by Cisco, Menon leads the product management, design, sales, and growth functions. His team focuses on driving product adoption in cloud native application security spaces along with building new generative AI solutions for enterprise customers interested in beginning their generative AI journeys.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eDuring our conversation, Menon and I covered a wide spectrum of topics. We discussed his perspectives on cybersecurity in 2024, the significance of product management in business strategy, and his sources of optimism for the technology industry. Were currently experiencing incredibly exciting times, and it was an absolute pleasure conversing with a visionary leader whos actively shaping our journey towards a more promising future.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eMenon is no stranger to the spotlight, and his insights are sure to ignite your drive to make a positive impact on the world.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What makes your role at Outshift different from other incubators?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Its different because we are trying to do something quite different than just incubating a technology or a business. Within any startup, the challenge when youre trying to bring a new technology to market… is trying to find that product market fit.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe additional challenge within Outshift is that were trying to do this at Cisco, one of the most successful businesses of all time, with revenues in the tens of billions, and were trying to incubate meaningful businesses at that scale.\u003c/p\u003e\u003c/div\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343620386112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW151876126 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What are the barriers to entry for enterprise customers adopting cloud native application security?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Many companies are at different stages in their whole cloud native maturity. Being in the Silicon Valley bubble, we often tend to think of cloud native as something that has already happened. However, the reality is that many enterprises are still early in that journey. So, they have traditional infrastructure that they still need to secure with traditional security.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe nature of the cloud native world evolves so fast. The rate at which new technologies are launched is mindboggling. It’s a challenging job to keep track of these advances. We think of this idea for a cloud native application protection platform and the idea of securing the application life cycle end-to-end is precisely because of this heterogeneous, fragmented, and diverse environment.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What does cybersecurity look like in 2024 and why is Outshift interested in this space?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Cybersecurity is one of those areas where the market continues to evolve and grow very rapidly. It’s a transformational space. From the perspective of how we can leverage AI in pursuit of securing our existing infrastructure or existing application lifecycle better, AI itself is going to increase the risk surface area for businesses.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eGiven these challenges, the product we have in the market is called Panoptica, a cloud native application protection platform. Panoptica takes a very holistic look at the application security in the cloud, from the developer building the application out through running it in the cloud and securing it with the APIs.\u003c/p\u003e\u003c/div\u003e\u003cp class\Paragraph SCXW151876126 BCX0\ style\-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;vertical-align:baseline;white-space:pre-wrap;\ paraid\360656930\ paraeid\{d57b0692-2e41-49d7-8747-15bc1873cbf6}{206}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\EOP SCXW151876126 BCX0\ style\-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cdiv class\raw-html-embed\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343621418112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW202395104 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: How do product teams fit into the bigger picture of a company and how do they play a role in the strategy?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: Finding product go-to-market fit, building the right product for the right market, and having a clear strategy on how to take that product to market is virtually crucial for any business. Product management is also a strategy to execution fit.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThe role of product management is being the keeper of strategy and making sure that the execution and the strategy fit across sales-led strategy, cloud-led strategy, and engineering-led strategy.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: How crucial is it to have the ability to pivot as a product manager?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: As a product manager, one of the key things is to have humility. And what I mean, by humility is, you need the courage to have a thesis, and to be opinionated about that thesis. Then, have the humility to understand when the signals are telling you that the thesis needs to be changed, or perhaps it is wrong and that something needs to be done.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eYou may need to pivot, change directions, and adjust your roadmap, or your strategy. You need to be super rigorous about measuring yourself and making sure youre tracking toward those success metrics as you have defined them.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What are the skills you look for in a product manager?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: The number one attribute of a product manager, is you have to be curious. You have to be endlessly curious about the potential for doing different things with technology, understanding the markets and the different routes to market, and exploring how to get there. Be endlessly curious.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eSecondly, be courageous. We will never have perfect information, so you are going to have to trust your instincts. Youre going to have to develop your expertise and build your knowledge to the point where you know enough about the space that you can trust your instinct.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eLastly, have the humility to change things when needed. You need to figure out quickly how to fix the things that are broken or how not to break things the next time around. You need to move fast, so you may break things, but you also need to learn from that. Its important to be to be humble.\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eSanders\u003c/strong\u003e: What keeps you hopeful about the technology industry as a whole?\u003c/p\u003e\u003cp class\text-lg py-2\\u003e\u003cstrong\u003eMenon\u003c/strong\u003e: I am a technologist through and through. Ive seen technology have a transformational impact on the world in terms of the ability to change peoples lives for the better. Technology has made the world a better, fairer, and more equitable place for people. I’m not oblivious to the risks of technology and how we have to be mindful and aware so we can solve them. Technology is a tool…with tremendous potential for humanity. I think we will figure out how to harness technology in the right way.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\raw-html-embed\ style\-webkit-text-stroke-width:0px;caret-color:rgb(0, 0, 0);color:rgb(0, 0, 0);font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;orphans:auto;text-align:start;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:auto;word-spacing:0px;\\u003e\u003ciframe src\https://players.brightcove.net/1384193102001/HkD0dCe7_default/index.html?videoId6343622697112\ allow\encrypted-media\ title\Video player\ height\400\ width\700\\u003e\u003c/iframe\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW26247462 BCX0\ style\-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-decoration:none;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\raw-html-embed\\u003e\u003cp class\text-lg py-2\\u003eCheck out Outshift’s latest cloud native application security offering, \u003ca href\https://www.panoptica.app/\ target\_blank\ class\text-lg py-2 underline\\u003ePanoptica\u003c/a\u003e.\u003c/p\u003e\u003cp class\text-lg py-2\\u003eThis article is part of our series How It’s Made, featuring voices from Outshift’s product management team as they reflect on lessons learned in the field.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,47:T2ba1,)/script>script>self.__next_f.push(1,\u003chtml\u003e\u003chead\u003e\u003c/head\u003e\u003cbody\u003e\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eIn our \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\/blog/ai-in-the-enterprise-1\\u003eprevious article\u003c/a\u003e, we looked at how the integration of AI in your enterprise puts the issue of \u003cstrong class\font-dark\\u003ecustomer trust\u003c/strong\u003e at the very center of your concerns. Perhaps you’re crafting optimal, personalized patient care plans. Or maybe you’re generating influencer content based on customer data trends.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAt the enterprise level, there are so many ways to capitalize on the tremendous potential of AI. But how are you using your customer data? Are you transparent with them about that usage? Is the data stored securely? Are your AI models protected from tampering?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your enterprise pursues AI integration, then you must be acutely aware of the corresponding security implications. The task before you is much greater than the creation of efficient models and algorithms. If customers are to trust your AI-powered solutions, then you owe it to them to \u003cstrong class\font-dark\\u003eprioritize privacy, authenticity, and attribution\u003c/strong\u003e.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eFor enterprise stakeholders, trustworthy AI is not just a technical asset; it is a promise of secure and responsible AI operations. The bottom line is this: \u003cstrong class\font-dark\\u003eYour enterprise cannot have AI without prioritizing security\u003c/strong\u003e. To do so would introduce a level of risk that most enterprises and their stakeholders cannot stomach.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn this post, we’ll look closely at security challenges of AI integration, considering how enterprises can secure their systems and data in response.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe’ll start by addressing one of the first stages in the AI journey: data collection.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eData collection and dealing with sensitive data\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eEffective AI starts with data collection. Perhaps you’re gathering log data from components across your distributed system, or you’re gathering biometric data from participants in a pharmaceutical drug trial. Regardless, the more data you can gather and use to train your AI models, the higher the quality of your models’ predictions and outputs.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: During the data collection phase, you run the risk of unintentionally gathering sensitive information—personal identifiable information from customers, confidential business data, proprietary research information, and more.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf you don’t handle this sensitive data appropriately, it will become a vulnerability. Unauthorized access to this data could lead to:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eBreaches of data privacy\u003c/li\u003e\n\u003cli\u003eLegal and financial repercussions from compliance violations\u003c/li\u003e\n\u003cli\u003eLoss of customer trust and damaged brand reputation\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Your enterprise can adopt the following practices to help protect against the improper gathering, storage, or incorporation of sensitive data:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eImplement strict data governance policies to oversee what data is collected and how it is used.\u003c/li\u003e\n\u003cli\u003ePerform regular data audits to identify any unintentional collection of sensitive data.\u003c/li\u003e\n\u003cli\u003eEmploy data classification techniques to ensure that sensitive data is immediately recognized and handled with the necessary care.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eModel training and the exposure of confidential data or IP\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs we move further along the pipeline of AI processes, we arrive at model training. We’ve considered the unintentional inclusion of sensitive data in the data collection phase, but what about the case of sensitive data that is meant to be incorporated? Often, datasets used for model training include confidential or proprietary information out of necessity.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: When training datasets are shared or accessed, intentionally included confidential data or intellectual property (IP) might be exposed.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWhen IP or confidential data is exposed, competitors might learn of your business strategies or gain an undue advantage. Confidential data that is incorporated into your AI models without proper handling may expose your enterprise to industrial espionage.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Various data privacy techniques can be applied to help protect confidential training data from inadvertent exposure. These techniques include:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eLeverage tools to apply differential privacy, ensuring the model does not memorize specific details from training data while preserving the accuracy of model outcomes.\u003c/li\u003e\n\u003cli\u003eSegregate sensitive or confidential data with data partitioning to ensure that it’s not used in shared or public models.\u003c/li\u003e\n\u003cli\u003eImplement anonymization practices to de-identify data, thereby minimizing the impact if a data breach does occur.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eEnsuring secure models\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eEven after your data has been properly collected, handled, and secured, your AI models themselves are susceptible to security threats.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Malicious attackers can try to compromise the integrity of your model and its results through the following attacks:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel poisoning\u003c/strong\u003e: Inserting misleading or incorrect data into a training dataset in order to compromise a model’s predictive accuracy or behavior\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel tampering\u003c/strong\u003e: Altering an already trained model by accessing and modifying a model’s parameters, architecture, or configuration settings\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eIntroduction of bias\u003c/strong\u003e: Skewing a model’s decision-making by manipulating training data, features, labels, or feedback loops\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eWe can’t overstate the repercussions of an AI model with skewed or malicious outputs, especially if the model is used to guide critical business decisions or to interact with end users.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Ultimately, securing your AI models depends on proper validation and monitoring:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eEnforce trusted data sourcing through data lineage tracing and quality checks to guarantee that training data is genuine.\u003c/li\u003e\n\u003cli\u003eConduct regular model validation to ensure that a model is performing as expected and to detect abnormalities in its outputs.\u003c/li\u003e\n\u003cli\u003eImplement continuous model monitoring—including its infrastructure and network—to provide real-time insights into its health and functioning, enabling rapid detection - and mitigation of any anomalies.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eSecuring your stored data\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs we’ve noted, integrating AI into your enterprise requires massive amounts of data, necessitating massive data storage solutions.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Stored data (both raw and processed) can be an attractive target for malicious actors, especially given its volume and potential value.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your data storage solutions are brittle or insecure, your enterprise is susceptible to data breaches that could expose sensitive user or business data. A data breach could lead to substantial financial losses, legal consequences, and damaged business reputation.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Your enterprise can put into place several measures to secure its stored data:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eData encryption is your foremost defense, ensuring that stored data—even if it is accessed without authorization—remains unreadable.\u003c/li\u003e\n\u003cli\u003eUse cloud storage solutions that enact security measures that prevent common data breach threats.\u003c/li\u003e\n\u003cli\u003ePerform regular backups of your data.\u003c/li\u003e\n\u003cli\u003eImplement robust access control measures to protect access to critical datasets.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eSafeguarding your tools and processes\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eCertainly, integrating AI in your enterprise will require the adoption of various third-party tools.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Problem\u003c/strong\u003e: Third-party dependencies, such as open-source tools, might have security vulnerabilities that attackers will exploit in order to compromise your AI processes.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf your tools are compromised, then the result could be corrupted AI models or skewed results. Exploited dependencies may even become a backdoor for further breaches into your enterprise’s infrastructure.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eThe Solution\u003c/strong\u003e: Enterprises can take proper actions to ensure the security of their software supply chain.\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eEnsure that all tools come from trusted sources. Regularly update those tools to ensure they have the latest security patches.\u003c/li\u003e\n\u003cli\u003eUse software composition analysis (SCA) to gain insight into the potentially vulnerable, open-source components used in your pipeline.\u003c/li\u003e\n\u003cli\u003eAdopt the use of software bill of materials (SBOMs) coupled with vulnerability scanning to achieve robust software supply chain security.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eBuilding trust prioritizing security\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eThe transformative potential of AI for enterprises is undeniably powerful. However, the integration of AI in the enterprise demands an approach that prioritizes trustworthy and responsible AI. This means establishing a strong commitment to security.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe’ve looked at how integrating AI into your enterprise introduces points of vulnerability. Whether it’s the incorporation of sensitive data into training sets or malicious attackers trying to tamper with your models or tools, your enterprise must take a proactive and informed approach to secure its data and systems.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAs the world continues to move toward AI-centric solutions with increasing fervor, resources like \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://eti.cisco.com/blog/introducing-outshift-by-cisco\\u003eOutshift\u003c/a\u003e are shaping global discussions and practices in order to promote trustworthy and responsible AI. And Outshift stands ready to support you as you move forward in this journey, ensuring that your AI adoption is as secure as it is innovative.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e\u003c/body\u003e\u003c/html\u003e)/script>script>self.__next_f.push(1,48:T4d1,)/script>script>self.__next_f.push(1,\u003cp\u003eIn todays fast-paced business environment, generative AI (GenAI) offers unprecedented opportunities to streamline operations, enhance decision-making, and drive innovation. However, with so many potential applications, it can be challenging to identify the most impactful use cases for your organization.\u003c/p\u003e\u003cp\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWhat’s included\u003c/strong\u003e:\u003c/p\u003e\u003cul\u003e\u003cli\u003eA step-by-step guide to identifying high-impact GenAI use cases.\u003c/li\u003e\u003cli\u003eStrategies to overcome common challenges in AI implementation.\u003c/li\u003e\u003cli\u003eBest practices for ethical and responsible AI usage.\u003c/li\u003e\u003cli\u003eReal-world examples of successful GenAI applications across various industries.\u003cbr\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3-staging.s3.us-east-2.amazonaws.com/image%202410.png\ alt\image 2410.png\ width\1280\ height\640\\u003e\u003c/p\u003e)/script>script>self.__next_f.push(1,49:T2bbb,)/script>script>self.__next_f.push(1,\u003cp\u003eEnterprises deploying cloud-native applications enjoy the flexibility and scalability of the cloud, but they also face a daunting landscape of security challenges. Cloud environments—with distributed and ephemeral resources—are constantly evolving and present a vast attack surface. This complexity leaves a lot of room for human error, potentially rendering cloud environments and applications vulnerable. In addition, modern cyber threats targeting these cloud applications are numerous, sophisticated, and relentless.\u003c/p\u003e\u003cp\u003eCloud environment misconfigurations make applications vulnerable, and attackers are eager to exploit those vulnerabilities. Because of this, enterprises depend on cloud security posture management (CSPM) to navigate these risks. CSPM is a bundle of security tools that helps enterprises ensure cloud environments are secure, compliant, and resilient in the face of cyber threats.\u003c/p\u003e\u003cp\u003eReady to break down CSPM? We’ll start with a primer on key terms to lay a foundation of understanding, and then we’ll walk through, in detail, what CSPM does and why it’s important. By the end of this article, you’ll be equipped with an understanding of the pivotal role CSPM plays in an enterprise’s cybersecurity strategy.\u003c/p\u003e\u003ch2\u003eKey terms to know\u0026nbsp;\u003c/h2\u003e\u003cp\u003eIt’s important to understand key terms that represent the core capabilities of CSPM. CSPM bundles these capabilities into a single, cohesive solution, each playing a vital role in ensuring the security and compliance of cloud environments.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eCompliance\u003c/h3\u003e\u003cp\u003eCompliance involves ensuring that the operation of your cloud environments and applications adheres to both external and internal regulatory standards related to security, data protection, and data privacy.\u003c/p\u003e\u003cp\u003eExternally, this includes various laws and regulations that may be specific to an industry (such as healthcare, with HIPAA, or financial services, with PCI DSS) or region of operation (such as the European Union, with GDPR, or California, with CCPA). Internally, organizations may have their own, unique security policies.\u003c/p\u003e\u003cp\u003eEnsuring compliance means that all aspects of cloud operations must align with these diverse and often complex sets of requirements, helping safeguard data and operations to mitigate risks of violations, legal consequences, and financial penalties.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eConfiguration management\u003c/h3\u003e\u003cp\u003eConfiguration management is the process of maintaining and managing the security settings and configurations of cloud resources. Effective configuration management helps in preventing misconfigurations, a common source of security vulnerabilities in cloud environments.\u003c/p\u003e\u003ch3\u003eContinuous monitoring\u003c/h3\u003e\u003cp\u003eContinuous monitoring is the ongoing process of scanning and assessing the current security state of your cloud environments. This proactive approach helps in detecting potential security issues and responding in real time.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eRisk assessment\u003c/h3\u003e\u003cp\u003eRisk assessment involves identifying and evaluating the potential risks that could affect cloud resources. These risks include infrastructure misconfigurations, vulnerabilities in the application source code, and more. This risk assessment step is crucial for understanding the security vulnerabilities in your cloud environments, anticipating potential threats that seek to exploit those vulnerabilities, and taking appropriate measures to mitigate them.\u003c/p\u003e\u003ch3\u003eRisk remediation\u003c/h3\u003e\u003cp\u003eAfter identifying risks, risk remediation focuses on addressing these vulnerabilities. This involves implementing measures to reduce or eliminate the impact of identified risks on cloud environments.\u003c/p\u003e\u003ch3\u003ePolicy enforcement\u003c/h3\u003e\u003cp\u003ePolicy enforcement is about implementing and maintaining security policies across cloud environments. This ensures consistent security practices and helps in preventing unauthorized access or activities that could compromise cloud security.\u003c/p\u003e\u003cp\u003eEach of these capabilities contributes to the overall effectiveness of CSPM. Now that we’ve laid this foundation, let’s walk through what CSPM does.\u003c/p\u003e\u003ch2\u003eBreaking it down\u003c/h2\u003e\u003cp\u003eWhat does a CSPM solution do? To use an analogy, you can think of CSPM like a health inspector for cloud computing. A health inspector thoroughly examines a restaurant to ensure that it follows safety and hygiene standards. After the inspection is finished, the health inspector issues a health rating and a suggested list of violations to fix in order to improve that rating.\u003c/p\u003e\u003cp\u003eCSPM works in much the same way, inspecting your cloud environments for security and compliance. At the end of the day, CSPM gives you a security risk score—called a “Risk Assessment”—much like a health rating. Some CSPM solutions (such as Panoptica) also provide a list of suggested actions you can take to improve that score. These solutions might also automatically draft the code for some of these actions in such a way that the security operations team only needs to approve it. This feature is referred to as “Risk Remediation.”\u003c/p\u003e\u003cp\u003eHowever, a significant difference between the health inspector in our analogy and CSPM is that a CSPM inspection is not periodic; its continuous. Continuous monitoring from CSPM means that—at all times—it is vigilantly checking for errors in your cloud environment and validating what youre doing in the cloud. \u0026nbsp;\u003c/p\u003e\u003cp\u003eWhat rules does CSPM check your cloud environment against? As part of its configuration management capabilities, CSPM checks for cloud misconfigurations that would either lead to a security vulnerability or non-compliance with regulations. Some examples include:\u0026nbsp;\u003c/p\u003e\u003cul\u003e\u003cli\u003eA cloud storage bucket (such as with AWS S3) that incorrectly permits public read and write access\u003c/li\u003e\u003cli\u003eA compute instance with insecure and open ports\u003c/li\u003e\u003cli\u003eAn IAM policy that is overly permissive\u003c/li\u003e\u003cli\u003eUnencrypted data storage\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eSometimes, the complexity of the cloud makes it difficult to catch misconfigurations manually. Other times, configurations of individual resources may be considered secure, but when put together present a risky setup. CSPM detects these risks by having holistic visibility into your entire cloud environment. Panoptica describe the results of its holistic findings with an “Attack Path Analysis” that shows how an attacker could exploit a particular mix of resources.\u003c/p\u003e\u003cp\u003eCSPM also carries out \u003cstrong\u003epolicy enforcement.\u003c/strong\u003e This means it is always watching to ensure new activities in your cloud do not violate your organization’s established security policies. Some CSPM solutions warn you when you are taking an action that violates policy, while others restrict you from taking the action altogether.\u003c/p\u003e\u003cp\u003eFinally, and perhaps most importantly, a CSPM provides \u003cstrong\u003erisk assessment,\u003c/strong\u003e presenting all the security risks—detected and categorized by severity and type—in a single dashboard so that you can take action. For example, CSPM might detect an SSL vulnerability related to a CVE with a high CVSS score. The dashboard would show this SSL vulnerability as network related and give it a severity level of “critical.” Or as another example, the CSPM might detect an API in your application that uses a weak password for its authentication scheme. This risk would be categorized under authentication and given a severity level of “high.” \u0026nbsp;\u003c/p\u003e\u003cp\u003eUltimately, an organization that uses CSPM has a constant pulse on its security, always able to see a “score” for how it’s doing.\u003c/p\u003e\u003cp\u003eAlongside detected risks, CSPM solutions featuring \u003cstrong\u003erisk remediation\u003c/strong\u003e provide actionable guidance on what needs to be changed in order to eliminate a vulnerability or achieve compliance.\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/CSPM.png\ alt\CSPM.png\\u003e\u003c/p\u003e\u003ch3\u003eCSPM integral to the CNAPP\u003c/h3\u003e\u003cp\u003eA cloud-native application protection platform (CNAPP) is an all-in-one platform that consolidates various cybersecurity tools into a single solution. A CNAPP bundles together tools such as CSPM, static application security testing (SAST), vulnerability scanning, API security, cloud workload protection, and more.\u003c/p\u003e\u003cp\u003eCSPM is considered a major and indispensable piece of a CNAPP (see \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.panoptica.app/ebooks/market-guide-for-cloud-native-application-protection-platforms\\u003eGartner’s Market Guide for CNAPPs\u003c/a\u003e). As an integrated part of a CNAPP’s suite of security tools, CSPM can use its risk assessment findings to point security professionals to other modules in the CNAPP that can help with remediation.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eThe role of AI/ML in CSPM\u003c/h3\u003e\u003cp\u003eAI/ML also play a significant role in enhancing the capabilities of CSPM, especially within the context of a CNAPP.\u0026nbsp;\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eEnhancing threat intelligence:\u003c/strong\u003e The comprehensive visibility and continuous monitoring from CSPM are joined to AI/ML algorithms for identifying emerging threats and anomalous patterns that might go unnoticed by traditional threat detection methods.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eImproved risk prioritization: \u003c/strong\u003eAI/ML-powered attack path analysis puts individual risks (as detected by CSPM) together to determine possible attack paths, helping to determine the most critical risks across your entire cloud environment.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eAutomating incident response:\u003c/strong\u003e By automating detection and response processes, AI/ML can enable CSPM systems to react to detected security vulnerabilities immediately, without requiring human intervention.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eAdaptive security posture:\u003c/strong\u003e As cloud environments evolve, AI/ML can help CSPM solutions to adjust their security postures in real time.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eCSPM provides a proactive approach to staying secure\u003c/h2\u003e\u003cp\u003eIn the complex world of cloud-native applications and computing, evolving cyber threats and the likelihood of human error in cloud configurations are significant challenges. These misconfigurations can lead to vulnerabilities, exposing organizations to security breaches or compliance violations, which can result in business disruptions, financial losses, and legal consequences.\u003c/p\u003e\u003cp\u003eCSPM addresses these challenges by providing comprehensive visibility and continuous monitoring of your cloud environments. By assessing your cloud environments for risk and helping you prioritize and remediate those risks, CSPM gives you a proactive and automated approach to maintaining robust security in the cloud.\u003c/p\u003e\u003cp\u003ePanoptica, a leading CNAPP solution from Outshift, brings comprehensive visibility into your cloud environments and risks through its CSPM capabilities. 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Fill\,\hd\:false,\_render\:true},{\ty\:\tr\,\p\:{\a\:0,\k\:0,0,\ix\:2},\a\:{\a\:0,\k\:0,0,\ix\:1},\s\:{\a\:0,\k\:100,100,\ix\:3},\r\:{\a\:0,\k\:0,\ix\:6},\o\:{\a\:0,\k\:100,\ix\:7},\sk\:{\a\:0,\k\:0,\ix\:4},\sa\:{\a\:0,\k\:0,\ix\:5},\nm\:\Transform\,\_render\:true},\nm\:\Vector\,\np\:6,\cix\:2,\bm\:0,\ix\:1,\mn\:\ADBE Vector Group\,\hd\:false,\_render\:true},\ip\:-1,\op\:450,\st\:0,\bm\:0,\completed\:true}},\markers\:,\__complete\:true},\width\:60,\height\:60,\start\:10}},\$L64\},\$L65\},\$L66\}}\n)/script>script>self.__next_f.push(1,68:T21f4,)/script>script>self.__next_f.push(1,\u003chtml\u003e\u003chead\u003e\u003c/head\u003e\u003cbody\u003e\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eIt has been a week of big AI events and announcements. Weve seen:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003eAn \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\\u003eExecutive Order\u003c/a\u003e from the White House, outlining new initiatives to establish standards for AI safety and security.\u003c/li\u003e\n\u003cli\u003eThe \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.gov.uk/government/topical-events/ai-safety-summit-2023\\u003eAI Safety Summit\u003c/a\u003e, hosted in the United Kingdom, gathering global leaders (including from the United States, China, and the European Union) and executives from AI and technology giants to build solidarity around the need to address the risks introduced by AI development.\u003c/li\u003e\n\u003cli\u003eA \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.engadget.com/kamala-harris-announces-ai-safety-institute-to-protect-american-consumers-060011065.html\\u003espeech from Vice President Kamala Harris\u003c/a\u003e, announcing more AI-related initiatives from the United States, including the establishment of the United States AI Safety Institute.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eThe whole world is talking about AI, and for good reason. Recent groundbreaking advances in AI—particularly in generative AI—have opened the door to unprecedented possibilities for businesses and individuals. However, the adoption of AI technologies brings societal implications, the risk of misuse, data privacy concerns, and other challenges. As the use of AI gains momentum, ensuring the trustworthy and responsible development and usage of AI is paramount.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAs a global technology incubation leader, Outshift is here to help shape the conversation around trustworthy and responsible AI. In this article, we’ll discuss what trustworthy and responsible AI is, and then we’ll talk about what we’re doing at Outshift to move AI usage and governance in the right direction.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eWhat is trustworthy and responsible AI?\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003e\u003cstrong class\font-dark\\u003eResponsible AI ensures that the development and use of AI are pursued ethically, with transparency and accountability\u003c/strong\u003e. As AI/ML permeates our world, the societal impact and implications will only increase. If not approached responsibly, AI can have adverse effects, such as the exacerbation of inequalities or the enablement of disinformation.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eHowever, with the recent surge of generative AI, responsible AI is not enough. AI must also be trustworthy. In a technology landscape now punctuated by deepfakes and doxxing, \u003cstrong class\font-dark\\u003etrustworthy AI ensures that we approach AI fully aware of the concerns around privacy, authenticity, and attribution\u003c/strong\u003e. When AI is trustworthy, users can leverage AI with confidence in its security.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAs we’re seeing in these recent announcements and events, the world has yet to arrive at a consensus regarding the prudent approach to AI development and usage. Promoting a clear understanding of trustworthy and responsible AI is vital to steering the direction of its future, and that’s what Outshift is focused on.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003ePioneering the discussions\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eThe \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://initiatives.weforum.org/ai-governance-alliance/home\\u003eAI Governance Alliance\u003c/a\u003e is an initiative of the World Economic Forums \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://centres.weforum.org/centre-for-the-fourth-industrial-revolution/home\\u003eCentre for the Fourth Industrial Revolution (C4IR)\u003c/a\u003e, uniting “industry leaders, governments, academic institutions, and civil society organizations” to ensure “that the potential of AI is harnessed for the betterment of society while upholding ethical considerations and inclusivity at every step.” Stemming from AI Governance Alliance was the Responsible AI Leadership summit in April 2023. Outshift’s Stephen Augustus (Head of Open Source at Cisco) contributed to the summit’s final summary of recommendations: \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.weforum.org/whitepapers/the-presidio-recommendations-on-responsible-generative-ai/\\u003eThe Presidio Recommendations on Responsible Generative AI\u003c/a\u003e.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eA few highlights from this important document include:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eEmploy diverse red teams\u003c/strong\u003e: What does this mean? Red teaming involves critical testing of AI systems to identify weaknesses and vulnerabilities. This concept was also mentioned in the recent Executive Order. The Presidio recommendation emphasizes diversity in team structure, emphasizing the incorporation of “members from varied genders, backgrounds, experiences and perspectives for a more comprehensive critique.”\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eBuild a common registry of models, tools, benchmarks, and best practices\u003c/strong\u003e: In order to facilitate collaboration between researchers and producers in the field, this recommendation pushes for a shared set of tools and guidelines for use in developing AI systems. This would also contribute toward accountability and transparency.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eEnsure content traceability\u003c/strong\u003e: The process of producing results in GenAI systems is often considered opaque. This recommendation encourages developers to better trace how content is generated and document its provenance. This will increase transparency and “help users discern the difference between human-generated and AI-generated content.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eAs global leaders—in industry, government, and every sector of society—wrestle with the imperative for trustworthy and responsible AI, Outshift is at the table and shaping this discussion.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eMoving forward\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eThe recent Executive Order from the U.S. government puts forth the need for standard processes to “ensure that AI systems function as intended, are resilient against misuse or dangerous modifications, are ethically developed and operated in a secure manner.” This is a great first step. We see the value in this too, and our product teams at Outshift are working on initiatives to help enterprises secure their AI systems and infrastructure from malicious attack.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eOne recurring theme from the United Kingdom’s AI Safety Summit was the need to defend against the use of generative AI in large-scale disinformation campaigns. This speaks to both the issue of responsible AI—which includes promoting the equitable use of GenAI that is free of bias—and the issue of trustworthy AI—dealing with concerns around authenticity and attribution.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThe development and usage of artificial intelligence will only gain traction, and the coming days will see it do so with acceleration. That’s why we have an urgent need for a posture that prioritizes trustworthy and responsible AI. With its roots in Cisco, Outshift has had a shared role in pioneering policy on responsible AI for the past several years. We aim to use this foundation to build better AI solutions, empowering organizations to use AI with integrity and confidence.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWhat’s next for us? In the days ahead, be on the lookout for more conversations on trustworthy and responsible AI with Vijoy Pandey (SVP and Head of Outshift) with Navrina Singh (Founder and CEO of SaaS Governance platform \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.credo.ai/\\u003eCredo AI\u003c/a\u003e, as well as a National AI Advisory Committee member) in collaboration with Venture Beat, a media company covering disruptive technology focused on AI. We’re also covering this topic from the point of view of Enterprises who need to scale responsibly, starting with the tough question: \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://venturebeat.com/ai/companies-know-that-trustworthy-and-responsible-ai-is-a-business-imperative-why-are-they-hesitating/\\u003eWhy are they hesitating\u003c/a\u003e?\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e\u003c/body\u003e\u003c/html\u003e)/script>script>self.__next_f.push(1,69:Tfae,)/script>script>self.__next_f.push(1,\u003chtml\u003e\u003chead\u003e\u003c/head\u003e\u003cbody\u003e\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eIf you didn’t fasten your seatbelts this week, you would have felt the gust that Outshift by Cisco made as it moved full speed ahead at Cisco Live US in Las Vegas. Leaders took customers on an exhilarating cloud native application security journey, urging them to improve their security posture against ever-growing sophisticated attack paths and expanded attack surfaces with our new and improved Cloud Native Application Security for Panoptica.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eLiz Centoni, EVP, Chief Strategy Officer, and GM of Applications said it best: “Panoptica offers a differentiated experience by bringing these powerful capabilities together for complete code to cloud security coverage…This is an intentional investment in helping our customers supercharge their modern application security at scale.”\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eHere are the new Panoptica capabilities announced this week, which will become available fall of 2023: \u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e🛡️\u003cstrong class\font-dark\\u003eAttack-Path Analysis\u003c/strong\u003e – Look at paths from diverse angles and get help with risk mitigation and resolution. \u003c/li\u003e\n\u003cli\u003e👨🏽💻 \u003cstrong class\font-dark\\u003eCode and Build Security\u003c/strong\u003e – Fortify your full software development lifecycle, governance policies, and Infrastructure as Code (IaC). \u003c/li\u003e\n\u003cli\u003e☁️ \u003cstrong class\font-dark\\u003eCloud Security Posture Management (CSPM)\u003c/strong\u003e – Enable continuous compliance and monitoring at scale, with visibility across their entire inventory cloud assets, including Kubernetes Security Posture Management. \u003c/li\u003e\n\u003cli\u003e🤖 \u003cstrong class\font-dark\\u003eCloud Workload Protection (CWP)\u003c/strong\u003e – Continuous security for virtual machines (VMs), serverless, containers, APIs and more. \u003c/li\u003e\n\u003cli\u003e🔐 \u003cstrong class\font-dark\\u003eApplication and API Security\u003c/strong\u003e – Monitor and secure your internal and external APIs and API tokens. \u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eThis week, Outshift shared several blogs for you to check out:\u003c/p\u003e\n\u003col class\text-lg pl-12 list-decimal list-inside ml-3 px-5\ style\list-style-type:decimal\\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://blogs.cisco.com/applications/outshift-by-cisco-announces-its-latest-cloud-native-application-security-strategy-with-panoptica\\u003eCheck out Vijoy Pandey’s, SVP, Outshift by Cisco, perspective\u003c/a\u003e on how Panoptica helps customers secure cloud native applications and prioritize with precision.\u003c/li\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.panoptica.app/?p2984\u0026amp;previewtrue\u0026amp;__hstc105720540.c61b968c5ce1a46c1810befda9dbce99.1699544947243.1699991684963.1700077320000.4\u0026amp;__hssc105720540.42.1700077320000\u0026amp;__hsfp2677439447\\u003eGet a product deep dive\u003c/a\u003e from Idan Kober, Panoptica Product Manager.\u003c/li\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://eti.cisco.com/blog/introducing-outshift-by-cisco\\u003eExplore our new brand\u003c/a\u003e, Outshift, Cisco’s incubation engine, Vijoy introduces.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp class\text-lg py-2\\u003eFinally, see everything related to Panoptica on our \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.panoptica.app/solutions/cloud-native-application-security-solution?__hstc105720540.c61b968c5ce1a46c1810befda9dbce99.1699544947243.1699991684963.1700077320000.4\u0026amp;__hssc105720540.42.1700077320000\u0026amp;__hsfp2677439447\\u003ePanoptica landing page\u003c/a\u003e. You’ll find resources like our eBooks, Panoptica Whitepaper, Gartner Report, and much more here. If you are eager to join our supercharged momentum, reach out to our team today via the link above.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eCheck back with us in the fall, and we will have more exciting news to share then. Innovation, full speed ahead.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e\u003c/body\u003e\u003c/html\u003e)/script>script>self.__next_f.push(1,6a:T7cf,)/script>script>self.__next_f.push(1,\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/quantum-research-lab-announcement/QLab1.jpg\ alt\Cisco Quantum Lab, located in Santa Monica Media Park. \\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003eCisco Quantum Lab, located in Santa Monica Media Park. \u003c/p\u003e\u003c/div\u003e\n\u003cp class\text-lg py-2\\u003eEngineering quantum systems is opening new horizons for information processing, in communication, cryptography, computing, and sensing. This can be future quantum computers breaking legacy public-key cryptography, or quantum cryptography systems offering a stronger level of security. Quantum technologies are among Cisco’s recent investments in emerging technologies to shape the future of the Internet.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe are happy to announce that we are opening a research lab in the city of Santa Monica, California, dedicated to research in quantum technologies, optics, and photonics. Cisco Quantum Lab, part of Cisco Research, develops technologies in the areas of quantum networking and security. Quantum networking and security, in contrast to quantum computing, open near-term commercial markets.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eOur new facility will host scientists and engineers conducting research and developing software and hardware prototypes. We will collaborate closely with networking, optics, and photonics engineers in Cisco’s business units to bring our research into the product development phase. Our internal research is complemented by joint projects with university labs on technologies that require long-term development, including regional and national Quantum Internet testbeds.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf you are interested in learning more, please contact us at \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\mailto:research@cisco.com\\u003eresearch@cisco.com\u003c/a\u003e.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,6b:T8e35,)/script>script>self.__next_f.push(1,\u003cdiv class\SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;padding:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\905827549\ paraeid\{44dfcd69-037d-4af0-aee2-31b8c9aebf55}{235}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWhen \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://outshift.cisco.com/blog/introducing-outshift-by-cisco\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun Underlined SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\ data-ccp-charstyle\Hyperlink\\u003e\u003cu\u003ewe launched Outshift by Cisco six months ago\u003c/u\u003e\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e, it was a rebranding effort to focus and strengthen the efforts of an innovative group within Cisco that had been operating under the title of “Emerging Technologies \u0026amp; Incubation.”\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin-bottom:10.6667px;margin-right:0px;margin-top:0px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1733374294\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{1}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eAs the team has grown since its inception a few years ago, its evolution has gone beyond a simple brand exercise to make it a cool experience for our audiences. Exploring our identity as the source of the most future-forward technological innovation at Cisco has become an important reflection of how we want to commit to driving real change for our customers.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1546688477\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{29}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eIt also began to highlight that building this identity also served the needs of our internal teams to have a point of pride on which to hang their professional hats. Purpose drives passion, and we wanted that purpose of being an \Outshifters” to become easily reflected and recognizable to the amazing innovators working here as part of themselves.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1223622761\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{65}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSo, after we settled on a name, logo, and purpose (“Innovation, full speed ahead!”), it was time to put that to work for our teams through a common language of identity and values.\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1223622761\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{65}\\u003e\u0026nbsp;\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\345762627\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{75}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun MacChromeBold SCXW8854886 BCX0 NormalTextRun\ style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e\u003cstrong\u003eThe Outshift ‘Spark’\u003c/strong\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cfigure class\image image_resized image-style-block-align-left\ style\width:57.04%;\\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-01-16%20at%205.31.37%E2%80%AFPM%281%29.png\ alt\Screenshot 2024-01-16 at 5.31.37 PM(1).png\\u003e\u003c/figure\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\585053007\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{85}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eA brand becomes real when there is a culture behind it that fuels its spirit. Culture isn’t something you can invent out of thin air, either. It can be aspirational or provide guidance on how teams can work together in the best way possible, but it should also inherit a realness from what is naturally occurring across interactions and experiences in the organization.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\2138380215\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{115}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eTherefore, while developing the updated brand, we spent a good amount of time observing and interviewing team members, new and old, about why they liked working at Outshift, their motivations, and hopes for the future of the group, and what fueled a great day at work for them. The result was a set of team values that aimed to bring the best of Outshift out of every team, every day:\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\ListContainerWrapper SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;margin:0px;padding:0px;position:relative;user-select:text;\\u003e\u003col\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cstrong\u003eUnleash Innovation:\u0026nbsp;\u003c/strong\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe eat innovation for breakfast. We don’t just play the game—we change it. We think outside the box and question the rules with good reason (and good intentions). We focus that innovation with controlled risk-taking to solve for the future. We’re fueled by the fact that we get to do something different every damn day.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eAim for Awesome Outcomes:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe bias towards action! We are agile. We make commitments and are accountable for what we choose to do. Every action is measured twice, cut once. We arrive at outcomes as a team, with clarity of collaborative roles and responsibilities, so we move forward confidently.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003co:p\u003e\u003c/o:p\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eAlways Deliver Delight:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe prioritize delight in every customer interaction. Through intentional velocity, elegant simplicity, and authenticity, we are completely focused on the quality of our customer interactions, from product to support to out in the world. We listen to our customers early and often to deliver their ideal experience.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003co:p\u003e\u003c/o:p\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eOne Team. One Goal:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe are unique in Cisco, but we’re stronger together. We’re a global team, and we bond beyond time zones. We share a mutual respect\u0026nbsp;\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-image:var(--urlContextualSpellingAndGrammarErrorV2, url(;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;\ data:image\\ data-contrast\auto\ xml:lang\EN-US\\u003eto express\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e our experiences, thoughts, concerns, and needs. We lead with empathy and choose collaborative over transactional every time.\u003c/span\u003e\u003cspan class\textrun eop\ style\mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\917126881\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{220}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSome of these things we’re already exemplifying, and some of these are stretch goals we aim to meet, but having values with memorable titles that are easy to reference gives us a common language for when we are trying to evolve and improve processes and projects with the goal of achieving a better outcome for all Outshifters and our customers.\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1525505867\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{243}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\680613729\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{247}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun MacChromeBold SCXW8854886 BCX0 NormalTextRun\ style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e\u003cstrong\u003eWhat Outshift means to us now\u003c/strong\u003e\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\6073125\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{2}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWhen we announced the new \u003c/span\u003e\u003c/span\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003ebrand, we wrote: “\u003c/span\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eAs Outshifters, we know that innovation is nothing without action. But taking a moment to stop and reflect on how we show this identity to the world is an important step towards turning that action into something memorable and successful.”\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\113223302\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{20}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSince then, we have focused on turning that innovation into action. Here are a few examples:\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\ListContainerWrapper SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;margin:0px;padding:0px;position:relative;user-select:text;\\u003e\u003cul\u003e\u003cli\u003e\u003cspan style\font-size:14px;\\u003eOur cloud application security solution, Panoptica, is now highly competitive in the market with industry-leading attack path analysis with proprietary graph-based technology; We can help you understand how much of your internal networks are visible to attackers for free, with our easy-to-use \u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://recon.cloud\\u003e\u003cspan style\color:rgb(5,99,193);font-size:14px;\\u003erecon.cloud\u003c/span\u003e\u003c/a\u003e\u003cspan style\font-size:14px;\\u003e tool. \u0026nbsp;\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style\font-size:14px;\\u003eAs we dive into AI innovations, we have published video interviews with leading experts in the field in partnership with Venture Beat to give our customers insights into how to implement this technology into their organization for the long-term successfully.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\369822585\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{30}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;border-left:1px solid var(--clrCommentsHighlightPipeRest, #424242);font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eFurther to this, however, we have looked for ways to \u003c/span\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003estrengthen our identity as a team in ways small and large. From donating 1$ to non-profit organizations for every attendee at our Outshift Event booths (we raised over $8,000 last year!), to hosting internal labs, trainings, and All Hands to communicate our Outshift mission and values, and of course, a few swaggy t-shirts and stickers, we are focused on building both a string of successful emerging tech innovations and a really great place to work. \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://youtu.be/us6qIaUhWHQ\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWatch this video\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e to hear more about Outshift from some of our own team members at a recent conference.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP CommentHighlightRest SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1039807691\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{139}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eP.S. Were looking for more visionaries to join our team of Outshifters—check out our\u003c/span\u003e\u003c/span\u003e\u003cspan style\color:rgb(55,65,81);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://eti.cisco.com/careers\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun Underlined SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\ data-ccp-charstyle\Hyperlink\\u003e\u003cu\u003elatest career opportunities\u003c/u\u003e\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e for more info.\u003c/span\u003e\u003cspan class\EOP CommentHighlightPipeRest SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;border-left:1px solid var(--clrCommentsHighlightPipeRest, #424242);line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1039807691\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{139}\\u003e\u0026nbsp;\u003c/p\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,6c:T266c,)/script>script>self.__next_f.push(1,\u003chtml\u003e\u003chead\u003e\u003c/head\u003e\u003cbody\u003e\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eIf predictive AI can make accurate recommendations based on historical data, could you use HR data and KPIs to predict which employees are most likely to underperform next year? Could you use generative AI to provide automated and personalized counseling to people in crisis? Applications like these are certainly possible. But what effect would they have on the trustworthiness of your organization?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThe role of AI continues to expand across all sectors, and every enterprise wants to jump on board. But as they look to harness AI’s capabilities, they face an even deeper challenge: \u003cstrong class\font-dark\\u003ebuilding trust from their users\u003c/strong\u003e. How will they safeguard the data and processes that come with tapping into AI?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn this post, well look at how modern enterprises are integrating AI, shedding light on the key processes involved. As we explore, we’ll touch on the security implications of integrating AI—because unless you implement trustworthy AI, you’re creating security problems rather than AI solutions.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eLet’s begin by considering examples of AI in action across industries.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eExamples of AI in the enterprise\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs a real-world example of AI in the enterprise, let’s consider Babble Labs, which was once a standalone venture until Cisco \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.cisco.com/c/en/us/about/corporate-strategy-office/acquisitions/babblelabs.html\\u003eacquired it in 2020\u003c/a\u003e. Babble Labs looked at the challenges of delivering clear audio in video conferencing. Amidst background and non-speech noise, how might software improve a participant’s ability to focus on core meeting content?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eTraditional noise reduction methods were limited. So, Babble Labs trained neural networks on hundreds of thousands of hours of speech and noise, along with tens of thousands of hours of room acoustics. By leveraging AI/ML, \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://blog.webex.com/video-conferencing/babblelabs-ai-audio-wizardry-for-cisco-webex-meetings/\\u003eBabble Labs vastly improved speech clarity and noise reduction for Webex Meetings\u003c/a\u003e.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThis is just one example of the power of AI, but AI’s ever-growing capabilities promise impactful applications across industries. And from one industry to the next, enterprises need to strike a fine balance between innovative applications and engendering trust.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eFor example, in \u003cstrong class\font-dark\\u003ehealthcare\u003c/strong\u003e, a medical provider can leverage AI to interpret individual patient histories alongside real-time biometrics, crafting personalized and optimal patient care plans. But what about patients who don’t want their data—even if it’s anonymized—to be used to inform the care of other patients? Or worse, what if data isn’t anonymized or stored securely, and it’s vulnerable to a breach of protected health information?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn \u003cstrong class\font-dark\\u003eemergency management\u003c/strong\u003e, generative AI can simulate disaster scenarios to help cities prepare emergency response plans, project outcomes, and determine the distribution of resources. But what if it’s built on biased models that prioritize certain demographics over others?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn \u003cstrong class\font-dark\\u003efintech\u003c/strong\u003e, financial institutions can use predictive analytics, analyzing consumer spending behavior to craft personalized financial guidance or calculate risk when approving loans. How transparent should these institutions be about the role of AI in influencing what could be life-changing decisions for their customers?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThe potential of AI in the enterprise—in every sector—is incredible. To better understand the points at which an enterprise must consider the trust issue, let’s turn our attention to the processes that make AI possible.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eKey processes in using AI\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eIntegrating AI into your enterprise involves an intricate sequence of processes that transform raw data into actionable insights. It’s not as simple as plugging in a new tool. Key processes include:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eData collection\u003c/strong\u003e: Gather massive volumes of data from various sources.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eData processing\u003c/strong\u003e: Collected data undergoes various operations (such as sanitization, standardization, deduplication, and vectorization) performed by a set of specialized tools.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eData storage\u003c/strong\u003e: Store both the raw and processed data in preparation for model training and/or fine-tuning.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel building and training\u003c/strong\u003e: Create an ML model and train it on the data, iteratively refining its accuracy and efficiency.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel fine-tuning\u003c/strong\u003e: Adapt a general ML model for specific use cases to ensure the highest degree of relevance and accuracy.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eUser interaction with AI\u003c/strong\u003e (more often in the case of generative AI): Users pose questions, seek answers, and engage with the AI-based system in real time.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eAdopting these new processes naturally introduces substantial infrastructure demands:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eOptimized switching\u003c/strong\u003e to ensure the rapid and efficient flow of data, as AI involves the handling of vast amounts of data\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eIncreased network bandwidth\u003c/strong\u003e to handle the transfer of large datasets\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eData stream management\u003c/strong\u003e to support various sources for data collection, ensuring data quality and guarding against data loss\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eRobust and scalable platforms\u003c/strong\u003e to support computational needs as ML models grow in size and sophistication\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eThe opportunities are attractive, and the technology available makes it achievable. But will going down this path cause your users to trust you more… or less? With each step forward—whether it’s adding an AI-related process or AI-necessitated infrastructure—a new security risk emerges. Every step, every tool, and every interaction is a potential vulnerability.\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eImplications for security\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eTo ensure you’re building trustworthy AI, you must proactively address the following security concerns:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eCollection of sensitive data\u003c/strong\u003e: When gathering data, you may inadvertently collect, store, and handle sensitive or personal identifiable information (PII).\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eRisks of incorporating confidential data or IP\u003c/strong\u003e: If proprietary or confidential information unintentionally makes its way into your training data, you risk exposing trade secrets.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eModel vulnerabilities\u003c/strong\u003e: Malicious attackers may target your models by poisoning, tampering, or introducing bias, undermining the trustworthiness of your AI.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eData storage security concerns\u003c/strong\u003e: Storing vast amounts of data requires taking strong measures to ensure its protection from both breaches and internal misuse.\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eVulnerabilities in AI tools and processes\u003c/strong\u003e: As your integration efforts rely on tools—especially third-party or open-source ones—your software supply chain may amass unseen security gaps or flaws.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003eThese represent some of the most pressing security challenges with AI, but the list is by no means exhaustive. Each enterprises journey with AI integration will present a unique set of security considerations and potential pitfalls. Nonetheless, if your enterprise wants to use AI while garnering customer trust, then you must:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eProtect your data.\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eProtect your processes.\u003c/strong\u003e\u003c/li\u003e\n\u003cli\u003e\u003cstrong class\font-dark\\u003eProtect your tools.\u003c/strong\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3 class\text-4xl py-4\\u003eBuilding AI that builds trust\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eThe transformative possibilities of AI for enterprises—across every sector—are undeniable. However, as we integrate these potentially game-changing capabilities, we cannot avoid the mandate to pursue trustworthy AI. Enterprises must pursue the use of AI that is more than just effective, but also secure.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://eti.cisco.com/blog/introducing-outshift-by-cisco\\u003eOutshift\u003c/a\u003e is at the forefront of navigating this intricate interplay, committed to guiding enterprises through the journey with an unwavering focus on both the innovation and the trustworthiness of AI.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIn our \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\/blog/ai-in-the-enterprise-2\\u003efollow-up article\u003c/a\u003e, we focus more deeply on the security landscape surrounding AI integration. We’ll cover what you need to confidently embrace AIs transformative power while establishing a security posture that builds trust from your customers.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e\u003c/body\u003e\u003c/html\u003e)/script>script>self.__next_f.push(1,6d:T3579,)/script>script>self.__next_f.push(1,\u003cp\u003eIn the rapidly evolving field of AI, emergent tools like ChatGPT and Bard are bringing significant transformation to our technological landscape. These innovations embody a new era of AI that combines deep learning with highly nuanced, human-like interaction.\u003c/p\u003e\u003cp\u003eChatGPT, a large language model (LLM) application developed by OpenAI, stands out for its ability to deliver responses that are not only contextually relevant, but also aligned with human values and expectations. As a result, it has become a tool with applications across multiple domains and industries. Businesses and professionals from every sector are keen to leverage the capabilities offered by ChatGPT and similar LLMs.\u003c/p\u003e\u003cp\u003eEmbracing these advancements is not only advantageous but also indispensable for any organization aspiring to stay ahead in terms of innovation. Within the world of LLMs, one advancement gaining traction is retrieval-augmented generation (RAG), an approach that supplements the intelligent outputs of an LLM with just-in-time retrieval of up-to-date information.\u003c/p\u003e\u003cp\u003eIn this article, we’ll break down RAG to give you a firm understanding of it. We’ll start by covering key concepts related to LLMs, and then we’ll dive deeper into RAG and how it comes into play. Finally, we’ll discuss how enterprises can leverage RAG alongside LLMs to provide accurate, relevant, and current results in their applications.\u0026nbsp;\u003c/p\u003e\u003ch2\u003eKey concepts to know\u003c/h2\u003e\u003cp\u003eLet’s begin our breakdown of RAG with a primer on key terms.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eLarge language model (LLM) \u0026nbsp;\u003c/h3\u003e\u003cp\u003eAn LLM is a type of generative AI (GenAI) algorithm trained on large datasets—typically petabytes in size—with complex learning techniques to understand, summarize, and generate content in natural human language. \u0026nbsp;\u003c/p\u003e\u003cp\u003eBuilding an LLM is a complex process requiring tremendous computing resources. An LLM is a foundation on which an AI system can be built. Users can query the LLM with a prompt.\u003c/p\u003e\u003ch3\u003eTraining cutoff date\u003c/h3\u003e\u003cp\u003eFor LLMs like GPT, the training cutoff date refers to the latest point in time at which the model was trained with new data. For example, GPT-4 Turbo (version gpt-4-1106-preview) has a training cutoff date of April 2023. This means an LLM is at risk for generating inaccurate responses based on outdated data. This limitation becomes significant in continuously evolving domains like technology, world news, and current affairs.\u0026nbsp;\u003c/p\u003e\u003cfigure class\image\\u003e\u003cimg style\aspect-ratio:1350/630;\ src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-03-04%20at%203.57.10%E2%80%AFPM.png\ alt\The result of asking ChatGPT a question about an acquisition that occurred in September 2023.\ width\1350\ height\630\\u003e\u003cfigcaption\u003e\u003cspan style\color:rgb(0,0,0);font-family:Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size:10pt;\\u003e\u003cspan class\TextRun SCXW234346278 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:17.2667px;margin:0px;padding:0px;text-decoration:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\\u003eThe result of asking ChatGPT a question about an \u003c/span\u003e\u003c/span\u003e\u003ca class\Hyperlink SCXW234346278 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;color:inherit;cursor:text;margin:0px;padding:0px;text-decoration:none;user-select:text;\ target\_blank\ rel\noreferrer noopener\\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://investor.cisco.com/news/news-details/2023/Cisco-to-Acquire-Splunk-to-Help-Make-Organizations-More-Secure-and-Resilient-in-an-AI-Powered-World/default.aspx\\u003e\u003cspan style\color:rgb(17,85,204);font-family:Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size:10pt;\\u003e\u003cspan class\TextRun SCXW234346278 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:17.2667px;margin:0px;padding:0px;text-decoration:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\ data-ccp-charstyle\Hyperlink\\u003eacquisition that occurred in September 2023\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003c/a\u003e\u003cspan style\color:rgb(0,0,0);font-family:Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size:10pt;\\u003e\u003cspan class\TextRun SCXW234346278 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:17.2667px;margin:0px;padding:0px;text-decoration:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\\u003e.\u003c/span\u003e\u003cspan class\EOP SCXW234346278 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:17.2667px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;134233117\u0026quot;:false,\u0026quot;134233118\u0026quot;:false,\u0026quot;335551550\u0026quot;:2,\u0026quot;335551620\u0026quot;:2,\u0026quot;335559738\u0026quot;:0,\u0026quot;335559739\u0026quot;:0}\\u003e \u003c/span\u003e\u003cspan class\TextRun SCXW234346278 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:17.2667px;margin:0px;padding:0px;text-decoration:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\\u003e(ChatGPT’s GPT-4 Turbo model has a training cutoff date of April 2023.)\u003c/span\u003e\u003c/span\u003e\u003c/figcaption\u003e\u003c/figure\u003e\u003ch3\u003eGenAI hallucination\u003c/h3\u003e\u003cp\u003eA GenAI hallucination occurs when a GenAI model—in an effort to fulfill a request for content— produces information or a response that is inaccurate, nonsensical, or even completely unrelated to the user’s input. This can happen when a model encounters a question that is outside of its training scope.\u003c/p\u003e\u003ch3\u003ePrompt engineering\u003c/h3\u003e\u003cp\u003ePrompt engineering is the practice of crafting and designing specific instructions to guide an LLM to generate specific outputs. This might include providing additional context (which the LLM didn’t have when it was trained) or specifying response requirements such as length or format.\u003c/p\u003e\u003ch3\u003eThe limitations of LLMs\u003c/h3\u003e\u003cp\u003eAn LLM like GPT-4 has been trained on a massive amount of data. At first glance, one might think that the LLM knows practically everything there is to know. Yes, for most questions you might ask, LLMs like GPT-4 perform quite well—with two exceptions. An LLM cannot accurately answer questions about the following:\u003c/p\u003e\u003col\u003e\u003cli\u003eCurrent information or news that occurred after the training cutoff date. For example, with its training cutoff date of April 2023, GPT-4 would be unable to tell you who won the 2023 FIFA Women’s World Cup, which took place later in the year.\u003c/li\u003e\u003cli\u003ePrivate or proprietary information that was not part of the training dataset. For example, because GPT-4 didn’t train on your company’s internal records, it would be unable to answer questions about 2019 sales numbers from your Singapore office. Or, it can’t provide you with health guidance regarding your recent medical diagnosis, since it was not trained on your medical reports.\u0026nbsp;\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eWithout RAG, enterprises that want an LLM to answer these kinds of questions have one of two options:\u003c/p\u003e\u003col\u003e\u003cli\u003eBuild an LLM from scratch, training it with data that includes up-to-date information and the enterprise’s proprietary information.\u003c/li\u003e\u003cli\u003eFine-tune an existing LLM with up-to-date information and proprietary information.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eBoth of the above options are resource- and time-intensive. Many companies are unable to take either of these approaches. In addition, data privacy concerns would prevent companies from training an LLM on private or proprietary data.\u003c/p\u003e\u003cp\u003eNow that we have the key concepts laid out, let’s break down what RAG is and how it works.\u003c/p\u003e\u003ch2\u003eBreaking it down\u003c/h2\u003e\u003cp\u003eRetrieval-augmented generation (RAG) is an innovative technique that significantly enhances an LLM’s capabilities. When a user asks a question, RAG adds contextual information that can be applied to the LLM to address its knowledge limitations.\u003c/p\u003e\u003cp\u003eThe main goal of RAG is to expand the knowledge base of an LLM by using external sources to improve the precision and dependability of LLM results. RAG allows LLMs to temporarily access and integrate data that it wasn’t trained on, thereby addressing their real-time knowledge limitations. Let’s dive in more deeply to break down how RAG works.\u0026nbsp;\u003c/p\u003e\u003ch3\u003eHow RAG works\u003c/h3\u003e\u003cp\u003eRAG works by supplementing the user’s original question with external information, and sending this all to the LLM when requesting a response. In essence, RAG is a unique way of doing prompt engineering, essentially saying:\u003c/p\u003e\u003col\u003e\u003cli\u003eStart with all the information that you have been trained on.\u003c/li\u003e\u003cli\u003eTake into account this new information that I’m providing to you.\u003c/li\u003e\u003cli\u003eNow, based on all of this together, please answer my question.\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eOne writer refers to RAG as the \u003ca target\_blank\ rel\noopener noreferrer\ href\https://www.mongodb.com/blog/post/retrieval-augmented-generation-rag-open-book-test-gen-ai\\u003eopen-book test for generative AI\u003c/a\u003e:\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003ci\u003eRAG fills in the gaps in knowledge that the LLM wasnt trained on, essentially turning the question-answering task into an “open-book quiz.”\u003c/i\u003e\u003c/p\u003e\u003cp\u003eOr to use another analogy, we can think of RAG like a world-class chef preparing a meal. The chef (the LLM) has a vast array of ingredients (knowledge from training data). However, sometimes a diner (the user) asks for a dish with a specific, fresh ingredient that the chef doesn’t have in the kitchen.\u003c/p\u003e\u003cp\u003eHere’s where RAG comes in. RAG is like a chef’s assistant who runs out to the market (external data sources) to fetch the fresh ingredient (up-to-date or proprietary/sensitive information). The chef then combines this retrieved ingredient with their existing ones to create a dish that satisfies the customer’s request.\u003c/p\u003e\u003cp\u003eRAG has enhanced the traditional question-answer flow between a user and an LLM by introducing a retriever. When the user poses a question to the LLM, the retriever locates the relevant data and engineers a prompt for the LLM that combines this contextual information with the user’s query. With this information supplementing what it already knows, the LLM generates an answer that is both well-informed and up-to-date.\u0026nbsp;\u003c/p\u003e\u003cfigure class\image\\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Breakdown%20blog%20infographic%20-%20RAG%201200x628%402x.png\ alt\Breakdown blog infographic - RAG 1200x628@2x.png\\u003e\u003c/figure\u003e\u003cp\u003eA RAG approach enhances LLM usage by supplying private or up-to-date information with precision and specificity. LLMs enhanced by RAG excel at addressing inquiries and conducting fact-finding tasks due to their access to supplemental information.\u003c/p\u003e\u003cp\u003eTo summarize, \u003cstrong\u003eRAG enhances GenAI\u003c/strong\u003e \u003cstrong\u003ecapabilities\u003c/strong\u003e by helping an LLM access and utilize information outside of its training dataset, resulting in accurate and relevant responses while reducing the risk of hallucinations. By supplementing LLMs with data on demand, the RAG approach \u003cstrong\u003edoes not require time-consuming or resource-intensive retraining or fine-tuning of an LLM, nor does it require giving up control of private information by including it in training data.\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\u003ch2\u003eUse cases for an enterprise\u003c/h2\u003e\u003cp\u003eBy blending knowledge with external data, RAG represents a significant leap in how enterprises can leverage LLMs. Examples of RAG use cases for the enterprise include:\u003c/p\u003e\u003cul\u003e\u003cli\u003eCustomer service: Promptly address customer inquiries by supplementing a pre-built LLM with company-specific product details and policies.\u003c/li\u003e\u003cli\u003eMarket analysis: Provide valuable insights into present market conditions by accessing up-to-the-minute data and news.\u003c/li\u003e\u003cli\u003eHealthcare: Offer medical guidance based on the latest research and guidelines.\u003c/li\u003e\u003cli\u003eBusiness operations: Assist employees with intelligent search of an organization’s internal documents and data.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eRAG boosts the functionality of LLMs\u003c/h2\u003e\u003cp\u003eLLM-based applications such as ChatGPT and Bard utilize datasets and sophisticated learning techniques to comprehend and generate content that closely resembles natural human language. However, these models are limited in what they “know” because they rely on fixed training data. Prompt engineering is a practice that involves designing prompts to achieve specific and efficient outcomes. This practice enhances the versatility of models across domains, ensuring their effectiveness.\u003c/p\u003e\u003cp\u003eRAG enhances LLMs by retrieving and integrating real-time information as part of the prompt engineering process. It overcomes the constraints imposed by fixed training data, reducing the need for LLM retraining or fine-tuning.\u003c/p\u003e\u003cp\u003eThe current landscape in GenAI applications and innovation is evolving rapidly. Enterprises seeking to stay on the cutting edge of these developments must keep current in their understanding of new concepts and approaches, such as RAG. Outshift is at the forefront of equipping modern enterprises with the expertise and guidance they need to adopt AI in a manner that is not only effective but also responsible and trustworthy. For more information about Outshift’s role in the global discussion, read more on \u003ca target\_blank\ rel\noopener noreferrer\ href\https://outshift.cisco.com/blog/why-we-care-about-trustworthy-ai\\u003ewhy we care about trustworthy and responsible AI\u003c/a\u003e.\u0026nbsp;\u003c/p\u003e)/script>script>self.__next_f.push(1,6e:T4d1,)/script>script>self.__next_f.push(1,\u003cp\u003eIn todays fast-paced business environment, generative AI (GenAI) offers unprecedented opportunities to streamline operations, enhance decision-making, and drive innovation. However, with so many potential applications, it can be challenging to identify the most impactful use cases for your organization.\u003c/p\u003e\u003cp\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWhat’s included\u003c/strong\u003e:\u003c/p\u003e\u003cul\u003e\u003cli\u003eA step-by-step guide to identifying high-impact GenAI use cases.\u003c/li\u003e\u003cli\u003eStrategies to overcome common challenges in AI implementation.\u003c/li\u003e\u003cli\u003eBest practices for ethical and responsible AI usage.\u003c/li\u003e\u003cli\u003eReal-world examples of successful GenAI applications across various industries.\u003cbr\u003eDiscover how AI assistants can revolutionize your business, from automating routine tasks and improving employee productivity to delivering personalized customer experiences and bridging the AI skills gap.\u0026nbsp;\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cimg src\https://outshift-headless-cms-s3-staging.s3.us-east-2.amazonaws.com/image%202410.png\ alt\image 2410.png\ width\1280\ height\640\\u003e\u003c/p\u003e)/script>script>self.__next_f.push(1,6f:T1b96,)/script>script>self.__next_f.push(1,\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eThis month at Cisco, the Cisco Quantum Lab team hosted the third iteration of the Cisco Quantum Summit. The Summit aims to bring together industry and academic partners to facilitate discussions on emerging quantum technologies and their applications to security and networking. The Summit was an open-access virtual event streamed live on Cisco TV - primarily supported by the Cisco TV team. The interface of the Summit allowed us to interact with the audience, ask questions, and answer them, allowing for a two-way conversation. As our polls indicate, we were joined by a worldwide audience and various experience levels, from experts in quantum technology to those with a novice background.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.youtube.com/watch?vkX5g6t20iNk\u0026amp;t7s\\u003eDay 1 of the Summit\u003c/a\u003e was kicked off by Ramana Kompella, head of \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://research.cisco.com/\\u003eCisco Research\u003c/a\u003e, highlighting the research results and interests of the Cisco quantum team. Ramana then posed some pressing questions on the challenges faced by the quantum communication community. Jerry Chow, the keynote speaker, introduced the research work on quantum computers performed at IBM. We then heard from leaders of the various quantum network centers worldwide about the efforts in developing the backbone for the quantum internet. The session ended with a very stimulating panel discussion - covering multiple topics, such as the role of quantum networks in sensing, fundamental physics, quantum key distribution, and distributed quantum computing.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAny quantum workshop has to take a sense of the state-of-the-art hardware available, and we covered this topic by focusing on the development of quantum memories, single-photon sources, and single-photon detectors. We first heard about the research advances in diamond defects. Then, switching gears, we had research updates on the developments and applications of single-photon detectors, followed by discussions on integrated photonic devices for quantum applications. The last piece of the session covered the development of multiplexed single photon sources and free space QKD systems. Right before the end of day 1, we found that people were optimistic about the development of quantum networks based on the poll results shown below:\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/cisco-quantum-summit-2023/slido-1.png\ alt\slido\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003e\u003c/p\u003e\u003c/div\u003e\n\u003cp class\text-lg py-2\\u003eQuantum technology has a vital role to play in security. Not only does quantum technology provide a path to attack the currently deployed cryptographic protocol, but it also provides a solution in the form of information-theoretic security. In the first session of \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.youtube.com/watch?vBRlNbsU9ffo\u0026amp;t1589s\\u003eDay 2\u003c/a\u003e, we invited experts in quantum security to discuss the topic mentioned above. The session provided stimulating insights into the coexistence of the three security pillars - post-quantum cryptography, quantum key distribution, and the pre-shared key. Moving beyond the problem of distributing secure keys, various security protocols were discussed, including blind quantum computing, unclonable cryptography, and untrusted computation that quantum technology offers. Fun fact: did you know we can perform a cloud-based quantum algorithm where the sender does not trust the cloud and vice versa?\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAfter listening to the experts in quantum technology worldwide, it was time to address Ciscos efforts to address security in the post-quantum world. We were joined by three speakers who shared these efforts with us.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eOur first speaker discussed QKD key management systems (KMS) and how they fit into an overall QKD implementation. Ciscos Quantum Software Layer (QSL), supporting quantum key storage and management, was also discussed. Our next speaker covered government and industry actions and deployment timelines relating to quantum-safe cryptographic technology. Ciscos currently available quantum-safe crypto capabilities were noted as well. Our final speaker touched on QKD solutions and limitations and presented a QKD experiment Cisco performed with Qutech. A demo was shown using pre-standard post-quantum cryptography (PQC) and CISCO SKIP to share a symmetric key. We ended the session with a poll on QKD deployment plans. From the survey, we learned that respondents were split in their goals between not implementing QKD and having quantum and classical information in the same fiber for QKD:\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/cisco-quantum-summit-2023/slido-2.png\ alt\slido\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003e\u003c/p\u003e\u003c/div\u003e\n\u003cp class\text-lg py-2\\u003eHow do we actually build a quantum network? This was the topic of our final session of the quantum Summit. We learned about the in-house work on building a simulator to model quantum networks; see \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://techblog.cisco.com/blog/unifying-the-quantum-network-simulation-ecosystem\\u003ehttps://techblog.cisco.com/blog/unifying-the-quantum-network-simulation-ecosystem\u003c/a\u003e. The rest of the session had stimulating discussions on various quantum networking protocols and the coexistence of quantum networks with classical networks.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eAfter the sessions delving deep into various aspects of quantum technology, we concluded our poll on which aspect of quantum networking is the most interesting to our audience, from hardware deployment to algorithms/software to protocols/ architectures. The audiences favorite was all of them, which is also true with the ongoing research at Cisco Quantum Lab!\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThe development of quantum technologies could be considered the next moon landing. This milestone would require a concerted effort from academia and industry to work synergistically. One of the goals of the Cisco quantum summit is to act as an avenue of discussion between industry and academics, closing the gap between research and product. To this end, we will host a Quantum Summit in the fall of 2024. Stay tuned!\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWed love to receive your feedback – the strengths and the possible avenues of improvement. Please reach out to \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\mailto:quantumlab@cisco.com\\u003equantumlab@cisco.com\u003c/a\u003e with your comments or for other collaboration activities.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,70:T1974,)/script>script>self.__next_f.push(1,\u003cdiv class\raw-html-embed\\u003e\u003cdiv\u003e\u003c!--$--\u003e\u003cp class\text-lg py-2\\u003eFor the past few years, our group has had the pleasure of introducing ourselves as Cisco Emerging Technologies \u0026amp; Incubation, or ET\u0026amp;I for short. While our name might have been a mouthful, our mission is more to the point: We incubate new businesses and deliver what’s next and new for Cisco: Emerging technologies for tomorrow’s customer needs.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eWe also prioritize the next and new ways to achieve innovative results. This means being actively curious and pushing boundaries on how we can make the biggest impact on the market. That drive to explore and evolve recently led us to an important question: Are we showing the world who we really are?\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eWhat’s in a name?\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eBeyond a simple brand exercise, exploring our identity as a source of technological innovation for Cisco became an important reflection of how we want to commit to driving real change for our customers.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eIf you think about it simply, identity is who we are and how we show up in the world. Our teams show up day in and day out to create transformational products and experiences. We hope to exhibit that passion and creativity through every touchpoint, to be clearly seen for what we can deliver to our customers and beyond.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eThis is why we’re excited to introduce you to Outshift, Cisco’s incubation engine for what’s next and new in emerging technologies, tomorrow’s customer needs, and future-forward research and ideas.\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/introducing-outshift-by-cisco/Outshift_Bumper-FINAL_DRD.gif\ alt\Outshift\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003e\u003c/p\u003e\u003c/div\u003e\n\u003ch3 class\text-4xl py-4\\u003eSparking a new identity\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eOur new identity is built on the foundation of Cisco’s decades-long track record of innovating technology solutions for the world’s biggest and best organizations. Cisco has closed the loop time again from innovation to action as it consistently builds and launches successful new products used by billions of people worldwide.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eExtending from that perfect circle of innovation-to-action or “O,” which starts Outshift and ends Cisco, our new logo is a creative evolution of the Cisco bridge and extends the company mission to empower an inclusive future for all.\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/introducing-outshift-by-cisco/img-1.png\ alt\Outshift\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003e\u003c/p\u003e\u003c/div\u003e\n\u003cp class\text-lg py-2\\u003eThe Outshift “spark” is a visual symbol of the innovative mandate of our team to transform new opportunities on behalf of Cisco and our customers with the speed and agility of startup, while harnessing the strength and scale of a global technology leader.\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/introducing-outshift-by-cisco/img-2.png\ alt\Outshift\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003eA few views from our new brand guidelines exploring the spark. \u003c/p\u003e\u003c/div\u003e\n\u003ch3 class\text-4xl py-4\\u003eOur portfolio of innovative endeavors\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs you explore the new \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\http://outshift.com\\u003eoutshift.com\u003c/a\u003e, you’ll be able to learn more about our exciting portfolio of transformative products and offerings across cloud native, edge native, AI and more emerging tech:\u003c/p\u003e\n\u003cul class\text-lg pl-12 list-disc ml-3 px-5\\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://www.panoptica.app/?__hstc105720540.c61b968c5ce1a46c1810befda9dbce99.1699544947243.1699991684963.1700077320000.4\u0026amp;__hssc105720540.44.1700077320000\u0026amp;__hsfp2677439447\\u003ePanoptica\u003c/a\u003e Our cloud native application security solution with code to cloud protection.\u003c/li\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://Recon.cloud\\u003eRecon.cloud\u003c/a\u003e: Our cloud security reconnaissance tool scans domains and lets you save findings and track trends.\u003c/li\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\/ai\\u003eAI\u003c/a\u003e: Discover trustworthy AI best practices and generative AI strategies that will protect and revolutionize your enterprise.\u003c/li\u003e\n\u003cli\u003e\u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\/open-source\\u003eOpen Source @ Outshift\u003c/a\u003e: Community-powered innovation in cloud native, AI/ML, API security and more with contributions from Cisco developers.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp class\text-lg py-2\\u003ePlus, more developing products, research, and ideas coming regularly!\u003c/p\u003e\n\u003ch3 class\text-4xl py-4\\u003eVisionaries found here\u003c/h3\u003e\n\u003cp class\text-lg py-2\\u003eAs Outshifters, we know that innovation is nothing without action. But taking a moment to stop and reflect on how we show this identity to the world is an important step towards turning that action into something memorable and successful.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eSo here we are: Outshift, Cisco’s incubation engine. We are engineers, architects, strategists, and leaders. We’re innovators, inventors, futurists, and explorers. But we don’t stop there.\u003c/p\u003e\n\u003cdiv class\flex flex-col items-center mx-auto tabletPort:w-8/12 w-full\\u003e\u003cdiv class\ \\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/blog/introducing-outshift-by-cisco/img-3.png\ alt\Outshift\\u003e\u003c/div\u003e\u003cp class\text-sm mt-2 mb-3\\u003e\u003c/p\u003e\u003c/div\u003e\n\u003cp class\text-lg py-2\\u003eBy thoughtfully applying innovation to what we build and how we build it, we outpace the competition. And we always bring our customers along for the ride. Put simply, we are here to deliver really awesome products that solve real customer problems—full speed ahead.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eLet’s build what’s next.\u003c/p\u003e\n\u003cp class\text-lg py-2\\u003eP.S. Were looking for more visionaries to join our team of Outshifters—check out our \u003ca target\_blank\ class\text-blue-500 underline hover:text-blue-700\ href\https://eti.cisco.com/careers\\u003elatest career opportunities\u003c/a\u003e for more info.\u003c/p\u003e\u003c!--/$--\u003e\u003c/div\u003e\u003c/div\u003e)/script>script>self.__next_f.push(1,71:T8e35,)/script>script>self.__next_f.push(1,\u003cdiv class\SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;padding:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\905827549\ paraeid\{44dfcd69-037d-4af0-aee2-31b8c9aebf55}{235}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWhen \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://outshift.cisco.com/blog/introducing-outshift-by-cisco\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun Underlined SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\ data-ccp-charstyle\Hyperlink\\u003e\u003cu\u003ewe launched Outshift by Cisco six months ago\u003c/u\u003e\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e, it was a rebranding effort to focus and strengthen the efforts of an innovative group within Cisco that had been operating under the title of “Emerging Technologies \u0026amp; Incubation.”\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin-bottom:10.6667px;margin-right:0px;margin-top:0px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1733374294\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{1}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eAs the team has grown since its inception a few years ago, its evolution has gone beyond a simple brand exercise to make it a cool experience for our audiences. Exploring our identity as the source of the most future-forward technological innovation at Cisco has become an important reflection of how we want to commit to driving real change for our customers.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1546688477\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{29}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eIt also began to highlight that building this identity also served the needs of our internal teams to have a point of pride on which to hang their professional hats. Purpose drives passion, and we wanted that purpose of being an \Outshifters” to become easily reflected and recognizable to the amazing innovators working here as part of themselves.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1223622761\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{65}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSo, after we settled on a name, logo, and purpose (“Innovation, full speed ahead!”), it was time to put that to work for our teams through a common language of identity and values.\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1223622761\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{65}\\u003e\u0026nbsp;\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\345762627\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{75}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun MacChromeBold SCXW8854886 BCX0 NormalTextRun\ style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e\u003cstrong\u003eThe Outshift ‘Spark’\u003c/strong\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cfigure class\image image_resized image-style-block-align-left\ style\width:57.04%;\\u003e\u003cimg src\https://outshift-headless-cms-s3.s3.us-east-2.amazonaws.com/Screenshot%202024-01-16%20at%205.31.37%E2%80%AFPM%281%29.png\ alt\Screenshot 2024-01-16 at 5.31.37 PM(1).png\\u003e\u003c/figure\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\585053007\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{85}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eA brand becomes real when there is a culture behind it that fuels its spirit. Culture isn’t something you can invent out of thin air, either. It can be aspirational or provide guidance on how teams can work together in the best way possible, but it should also inherit a realness from what is naturally occurring across interactions and experiences in the organization.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\2138380215\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{115}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eTherefore, while developing the updated brand, we spent a good amount of time observing and interviewing team members, new and old, about why they liked working at Outshift, their motivations, and hopes for the future of the group, and what fueled a great day at work for them. The result was a set of team values that aimed to bring the best of Outshift out of every team, every day:\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\ListContainerWrapper SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;margin:0px;padding:0px;position:relative;user-select:text;\\u003e\u003col\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cstrong\u003eUnleash Innovation:\u0026nbsp;\u003c/strong\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe eat innovation for breakfast. We don’t just play the game—we change it. We think outside the box and question the rules with good reason (and good intentions). We focus that innovation with controlled risk-taking to solve for the future. We’re fueled by the fact that we get to do something different every damn day.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eAim for Awesome Outcomes:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe bias towards action! We are agile. We make commitments and are accountable for what we choose to do. Every action is measured twice, cut once. We arrive at outcomes as a team, with clarity of collaborative roles and responsibilities, so we move forward confidently.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003co:p\u003e\u003c/o:p\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eAlways Deliver Delight:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe prioritize delight in every customer interaction. Through intentional velocity, elegant simplicity, and authenticity, we are completely focused on the quality of our customer interactions, from product to support to out in the world. We listen to our customers early and often to deliver their ideal experience.\u003c/span\u003e\u003cspan class\linebreakblob\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;user-select:text;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003co:p\u003e\u003c/o:p\u003e\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp class\paragraph\ style\margin-bottom:0in;margin-right:0in;margin-top:0in;vertical-align:baseline;\\u003e\u003cspan style\font-family:\u0026quot;Calibri\u0026quot;,sans-serif;font-size:11.0pt;\\u003e\u003cspan style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e\u003cstrong\u003eOne Team. One Goal:\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003eWe are unique in Cisco, but we’re stronger together. We’re a global team, and we bond beyond time zones. We share a mutual respect\u0026nbsp;\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-image:var(--urlContextualSpellingAndGrammarErrorV2, url(;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;\ data:image\\ data-contrast\auto\ xml:lang\EN-US\\u003eto express\u003c/span\u003e\u003cspan class\textrun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-variant-ligatures:none !important;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\\u003e our experiences, thoughts, concerns, and needs. We lead with empathy and choose collaborative over transactional every time.\u003c/span\u003e\u003cspan class\textrun eop\ style\mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-fareast-font-family:Calibri;mso-fareast-language:EN-US;mso-fareast-theme-font:minor-latin;\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\917126881\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{220}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSome of these things we’re already exemplifying, and some of these are stretch goals we aim to meet, but having values with memorable titles that are easy to reference gives us a common language for when we are trying to evolve and improve processes and projects with the goal of achieving a better outcome for all Outshifters and our customers.\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1525505867\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{243}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\680613729\ paraeid\{111b14fe-11f5-4c14-b69a-ddb7cbda5d09}{247}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun MacChromeBold SCXW8854886 BCX0 NormalTextRun\ style\-webkit-font-smoothing:antialiased;-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e\u003cstrong\u003eWhat Outshift means to us now\u003c/strong\u003e\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\6073125\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{2}\\u003e\u003cspan style\font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWhen we announced the new \u003c/span\u003e\u003c/span\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant-ligatures:none !important;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003ebrand, we wrote: “\u003c/span\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eAs Outshifters, we know that innovation is nothing without action. But taking a moment to stop and reflect on how we show this identity to the world is an important step towards turning that action into something memorable and successful.”\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;clear:both;cursor:text;direction:ltr;margin:0px;overflow:visible;padding:0px;position:relative;user-select:text;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\113223302\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{20}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eSince then, we have focused on turning that innovation into action. Here are a few examples:\u003c/span\u003e\u003cspan class\EOP SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559685\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv class\ListContainerWrapper SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;margin:0px;padding:0px;position:relative;user-select:text;\\u003e\u003cul\u003e\u003cli\u003e\u003cspan style\font-size:14px;\\u003eOur cloud application security solution, Panoptica, is now highly competitive in the market with industry-leading attack path analysis with proprietary graph-based technology; We can help you understand how much of your internal networks are visible to attackers for free, with our easy-to-use \u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://recon.cloud\\u003e\u003cspan style\color:rgb(5,99,193);font-size:14px;\\u003erecon.cloud\u003c/span\u003e\u003c/a\u003e\u003cspan style\font-size:14px;\\u003e tool. \u0026nbsp;\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style\font-size:14px;\\u003eAs we dive into AI innovations, we have published video interviews with leading experts in the field in partnership with Venture Beat to give our customers insights into how to implement this technology into their organization for the long-term successfully.\u003c/span\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\369822585\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{30}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentStart CommentHighlightPipeRest CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;border-left:1px solid var(--clrCommentsHighlightPipeRest, #424242);font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eFurther to this, however, we have looked for ways to \u003c/span\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003estrengthen our identity as a team in ways small and large. From donating 1$ to non-profit organizations for every attendee at our Outshift Event booths (we raised over $8,000 last year!), to hosting internal labs, trainings, and All Hands to communicate our Outshift mission and values, and of course, a few swaggy t-shirts and stickers, we are focused on building both a string of successful emerging tech innovations and a really great place to work. \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://youtu.be/us6qIaUhWHQ\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eWatch this video\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e to hear more about Outshift from some of our own team members at a recent conference.\u0026nbsp;\u003c/span\u003e\u003cspan class\EOP CommentHighlightRest SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;line-height:18.3458px;margin:0px;padding:0px;user-select:text;\ data-ccp-props\{\u0026quot;201341983\u0026quot;:0,\u0026quot;335559739\u0026quot;:160,\u0026quot;335559740\u0026quot;:259}\\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class\OutlineElement Ltr SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-text-stroke-width:0px;-webkit-user-drag:none;background-color:rgb(255, 255, 255);clear:both;color:rgb(0, 0, 0);cursor:text;direction:ltr;font-family:\u0026quot;Segoe UI\u0026quot;, \u0026quot;Segoe UI Web\u0026quot;, Arial, Verdana, sans-serif;font-size:12px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow:visible;padding:0px;position:relative;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;user-select:text;white-space:normal;widows:2;word-spacing:0px;\\u003e\u003cp class\Paragraph SCXW8854886 BCX0\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;background-color:transparent;color:windowtext;font-kerning:none;font-style:normal;font-weight:normal;margin:0px 0px 10.6667px;overflow-wrap:break-word;padding:0px;text-align:left;text-indent:0px;user-select:text;vertical-align:baseline;white-space:pre-wrap;\ paraid\1039807691\ paraeid\{6d6182fc-d182-49e7-8804-825eb102c313}{139}\\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003eP.S. Were looking for more visionaries to join our team of Outshifters—check out our\u003c/span\u003e\u003c/span\u003e\u003cspan style\color:rgb(55,65,81);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\\u003e \u003c/span\u003e\u003c/span\u003e\u003ca target\_blank\ rel\noopener noreferrer\ href\https://eti.cisco.com/careers\\u003e\u003cspan style\color:rgb(5,99,193);font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun Underlined SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\none\ xml:lang\EN-US\ lang\EN-US\ data-ccp-charstyle\Hyperlink\\u003e\u003cu\u003elatest career opportunities\u003c/u\u003e\u003c/span\u003e\u003c/span\u003e\u003c/a\u003e\u003cspan style\color:windowtext;font-family:Calibri, Calibri_EmbeddedFont, Calibri_MSCustomFont, Calibri_MSFontService, sans-serif;font-size:11pt;\\u003e\u003cspan class\TextRun SCXW8854886 BCX0 NormalTextRun CommentHighlightRest\ style\-webkit-tap-highlight-color:transparent;-webkit-user-drag:none;font-style:normal;font-variant:normal;font-weight:normal;line-height:18.3458px;margin:0px;padding:0px;text-transform:none;user-select:text;\ data-contrast\auto\ xml:lang\EN-US\ lang\EN-US\\u003e for more info.\u003c/span\u003e\u003cspan class\EOP CommentHighlightPipeRest SCXW8854886 BCX0\ 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