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Domain > www.fraudfenceai.com
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AlienVault OTX
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DNS Resolutions
Date
IP Address
2025-10-11
16.15.196.185
(
ClassC
)
2025-11-16
52.216.40.93
(
ClassC
)
Port 80
HTTP/1.1 200 OKx-amz-id-2: OSfS8pE7Yj154IxUZfkrUSEwxgOqSjwkIUW79hTCWblKd+lyF1ixdc3e0QM7cXQ+7SxRq0xTVscx-amz-request-id: GT158Z1QSARSHD1TDate: Sun, 16 Nov 2025 22:42:39 GMTLast-Modified: Sun, 24 Aug 2025 16:49:29 GMTETag: 755f806f6421012f94b894ef3227fbdeContent-Type: text/htmlContent-Length: 26993Server: AmazonS3 !doctype html>html langen> head> meta charsetutf-8 /> meta nameviewport contentwidthdevice-width, initial-scale1 /> title>FraudFenceAI/title> link relcanonical hrefhttps://www.fraudfenceai.com> meta namedescription contentFraudFenceAI — AI Firewall. Protect LLM apps from prompt injection, data leakage, hallucinations, compliance lapses, and agent abuse with real-time guardrails and analytics. /> meta propertyog:title contentFraudFenceAI — AI Firewall /> meta propertyog:description contentProtect AI workflows with real-time guardrails: prompt scanning, ML policy enforcement, output filtering, logging, and analytics. /> meta propertyog:url contenthttps://www.fraudfenceai.com /> meta nametwitter:card contentsummary /> meta nametwitter:url contenthttps://www.fraudfenceai.com /> link relicon href/favicon.svg /> link relpreconnect hrefhttps://fonts.googleapis.com> link relpreconnect hrefhttps://fonts.gstatic.com crossorigin> link hrefhttps://fonts.googleapis.com/css2?familyInter:wght@400;500;600;700;800&displayswap relstylesheet> script srchttps://cdn.tailwindcss.com>/script> script defer srchttps://unpkg.com/alpinejs@3.x.x/dist/cdn.min.js>/script> style> x-cloak{display:none !important} body{font-family: Inter, ui-sans-serif, system-ui, -apple-system, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol} .bg-grid{background-image:linear-gradient(to right, rgba(255,255,255,.06) 1px, transparent 1px),linear-gradient(to bottom, rgba(255,255,255,.06) 1px, transparent 1px);background-size:36px 36px} @keyframes float { 0%, 100% { transform: translateY(0px) rotate(0deg); } 50% { transform: translateY(-10px) rotate(1deg); } } @keyframes slowspin { 0% { transform: rotate(0deg) } 100% { transform: rotate(360deg) } } .animate-float { animation: float 8s ease-in-out infinite } .animate-slowspin { animation: slowspin 60s linear infinite } .card{border:1px solid rgba(255,255,255,.08); background: linear-gradient(180deg, rgba(19,24,33,.9), rgba(17,20,28,.8)); border-radius:12px; box-shadow:0 10px 30px rgba(0,0,0,.35); transition:transform .25s ease, box-shadow .25s ease, border-color .25s ease} .card:hover{transform:translateY(-2px); border-color:rgba(255,255,255,.16); box-shadow:0 16px 40px rgba(0,0,0,.45)} .btn{display:inline-flex; align-items:center; justify-content:center; gap:.5rem; padding:.6rem 1rem; border-radius:10px; font-weight:600; font-size:.9rem; transition:transform .15s ease, box-shadow .2s ease, background .2s ease} .btn:active{transform:translateY(1px)} .btn-primary{color:#fff; background:linear-gradient(135deg, rgb(99,102,241), rgb(147,51,234)); box-shadow:0 8px 24px rgba(99,102,241,.35)} .btn-primary:hover{filter:brightness(1.05)} .btn-outline{color:rgb(226,232,240); border:1px solid rgba(255,255,255,.15); background:rgba(2,6,23,.2)} .btn-outline:hover{background:rgba(15,23,42,.5)} .nav-link{position:relative; color:rgb(203,213,225)} .nav-link:hover{color:#fff} .nav-link::after{content:; position:absolute; left:0; bottom:-6px; height:2px; width:100%; transform:scaleX(0); transform-origin:left; background:linear-gradient(90deg, rgb(99,102,241), rgb(236,72,153)); transition:transform .25s ease} .nav-link.active{color:#fff} .nav-link.active::after, .nav-link:hover::after{transform:scaleX(1)} /style> script typeapplication/ld+json> { @context: https://schema.org, @type: WebSite, name: FraudFenceAI, url: https://www.fraudfenceai.com, inLanguage: en, description: AI Firewall — protect LLM apps with real-time guardrails and analytics., areaServed: Worldwide, hasPart: { @type: Service, name: AI Firewall, description: Protect AI systems from prompt injection, data leakage, hallucinations, compliance lapses, and agent abuse with prompt scanning, canary detection, ML policy enforcement, output filtering, logging, and analytics., areaServed: Worldwide, isSimilarTo: https://www.fraudfenceai.com, keywords: AI firewall, prompt injection, LLM security, policy enforcement, output filtering, analytics } } /script> script typeapplication/json idmetrics-seed> { aiFirewall: { promptInjections: 132540, dataLeakage: 50112, jailbreaks: 1710, policyViolations: 9342 } } /script> /head> body classrelative overflow-x-hidden overflow-y-auto min-h-screen bg-gradient-to-br from-slate-950 via-slate-900 to-slate-950 text-slate-100 x-dataappState() x-initinit()> !-- Background layers --> div aria-hiddentrue classpointer-events-none absolute inset-0 -z-10 bg-grid opacity-30>/div> div aria-hiddentrue classpointer-events-none absolute -top-40 -left-40 h-28rem w-28rem rounded-full bg-gradient-to-tr from-cyan-500/20 via-indigo-500/10 to-transparent blur-3xl animate-float>/div> div aria-hiddentrue classpointer-events-none absolute -bottom-40 -right-40 h-28rem w-28rem rounded-full bg-gradient-to-tr from-fuchsia-500/10 via-rose-500/10 to-transparent blur-3xl animate-float styleanimation-delay: -2s>/div> header classsticky top-0 z-50 border-b border-white/10 bg-slate-900/50 backdrop-blur supports-backdrop-filter:bg-slate-900/30> div classmx-auto max-w-6xl px-4 py-4 flex items-center justify-between> a hrefhttps://www.fraudfenceai.com classflex items-center gap-3> div classh-9 w-9 grid place-items-center rounded-lg bg-indigo-600/90 shadow-lg shadow-indigo-900/30>FF/div> span classtext-lg font-semibold tracking-wide>FraudFenceAI/span> /a> div classflex items-center gap-4> nav classtext-sm flex gap-6 overflow-x-auto whitespace-nowrap flex-1> a href# @click.preventactiveTab about :class{active: activeTab about} classnav-link>Overview/a> a href# @click.preventactiveTab ai-firewall :class{active: activeTab ai-firewall} classnav-link>AI Firewall/a> a href# @click.preventactiveTab contact :class{active: activeTab contact} classnav-link>Contact/a> a href# @click.preventactiveTab login :class{active: activeTab login || !activeTab} classnav-link>Login/a> /nav> div classhidden sm:flex items-center gap-3> a href# @click.preventactiveTab contact classbtn btn-outline>Contact sales/a> a href# @click.preventactiveTab login classbtn btn-primary>Start free trial/a> /div> /div> /div> /header> main classmx-auto max-w-6xl px-4 py-10> !-- Auth gates --> section x-show!isAuthenticated && (!activeTab || activeTab login) x-transition x-cloak classgrid md:grid-cols-2 gap-10 items-center> div classorder-2 md:order-1 x-initstartDashboardCounters()> h1 classtext-3xl sm:text-4xl font-bold leading-tight> Welcome to span classtext-indigo-400>FraudFenceAI/span> /h1> div classmt-6 grid gap-4 sm:grid-cols-1> div classrounded-lg border border-white/10 bg-slate-800/60 p-4> h3 classfont-medium>AI Firewall (High-level)/h3> p classmt-1 text-sm>Protect LLM apps from prompt injection, data leakage, hallucinations, compliance issues, and agent abuse. Real-time guardrails via prompt scanning, canary detection, ML policy enforcement, and output filtering across edge, API, and on‑prem./p> /div> /div> div classmt-6 grid grid-cols-2 sm:grid-cols-2 gap-4> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Prompt injections blocked/div> div classmt-1 text-lg font-bold x-textformatNumber(metrics.aiFirewall.promptInjections.display)>/div> /div> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Data leakage attempts/div> div classmt-1 text-lg font-bold x-textformatNumber(metrics.aiFirewall.dataLeakage.display)>/div> /div> /div> /div> div classorder-1 md:order-2> div classmx-auto w-full max-w-md card p-6> h2 classtext-xl font-semibold>Sign in/h2> p classmt-1 text-sm text-slate-400>Demo credentials: span classfont-mono text-slate-200>admin / fraudfenceai/span>/p> form classmt-6 space-y-4 @submit.preventlogin() novalidate> div> label forusername classblock text-sm text-slate-300>Username/label> input idusername nameusername typetext autocompleteusername x-model.trimusername classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 placeholder-slate-400 outline-none ring-0 focus:border-indigo-400 placeholderEnter username required /> /div> div> label forpassword classblock text-sm text-slate-300>Password/label> input idpassword namepassword typepassword autocompletecurrent-password x-modelpassword classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 placeholder-slate-400 outline-none ring-0 focus:border-indigo-400 placeholderEnter password required /> /div> div classflex items-center justify-between> label classinline-flex items-center gap-2 text-sm text-slate-300> input typecheckbox x-modelremember classh-4 w-4 rounded border-white/10 bg-slate-800 text-indigo-500 focus:ring-indigo-400 /> Remember me /label> button typesubmit classbtn btn-primary>Sign in/button> /div> template x-iferror> p classtext-sm text-rose-400 x-texterror>/p> /template> /form> /div> /div> /section> !-- Protected area --> section x-showisAuthenticated && activeTab login x-transition x-cloak x-initstartDashboardCounters()> div classcard p-6> div classflex flex-col sm:flex-row sm:items-center sm:justify-between gap-4> div> h2 classtext-2xl font-semibold>Dashboard/h2> p classtext-slate-300>Signed in as span classfont-mono text-slate-100 x-textcurrentUser ? currentUser.username : >/span>/p> /div> div classflex items-center gap-3> button @clicklogout() classrounded-lg border border-white/10 px-4 py-2 text-sm text-slate-200 hover:bg-slate-800>Log out/button> /div> /div> div classmt-6 grid gap-6 sm:grid-cols-2> div classcard p-5> div classflex items-center justify-between> h3 classfont-semibold>AI Firewall — Global signals/h3> span classtext-xs text-slate-400>Last 24h (illustrative)/span> /div> div classmt-4 grid grid-cols-2 gap-4> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Prompt injections blocked/div> div classmt-1 text-xl font-bold x-textformatNumber(metrics.aiFirewall.promptInjections.display)>/div> /div> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Data leakage attempts/div> div classmt-1 text-xl font-bold x-textformatNumber(metrics.aiFirewall.dataLeakage.display)>/div> /div> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Jailbreaks detected/div> div classmt-1 text-xl font-bold x-textformatNumber(metrics.aiFirewall.jailbreaks.display)>/div> /div> div classrounded-md border border-white/10 p-3> div classtext-11px uppercase tracking-wide text-slate-400>Policy violations/div> div classmt-1 text-xl font-bold x-textformatNumber(metrics.aiFirewall.policyViolations.display)>/div> /div> /div> /div> /div> /div> /section> section idabout classmt-10 text-slate-300 x-showactiveTab about x-transition x-cloak> div classrounded-2xl border border-white/10 bg-gradient-to-br from-slate-900/60 to-slate-800/40 p-8 md:p-12 shadow-xl shadow-black/20> div classmax-w-3xl> h1 classtext-3xl sm:text-5xl font-extrabold tracking-tight text-white>Secure the AI era with one unified platform/h1> p classmt-4 text-base sm:text-lg text-slate-300>FraudFenceAI protects your AI workflows end‑to‑end — from prompt security and policy enforcement to unified analytics — with real‑time, low‑latency controls./p> div classmt-6 flex flex-wrap gap-3> a href# @click.preventactiveTab login classbtn btn-primary>Start free trial/a> a href# @click.preventactiveTab contact classbtn btn-outline>Contact sales/a> /div> div classmt-6 grid gap-4 sm:grid-cols-2> div classcard p-4> div classtext-sm font-semibold text-white>AI Firewall/div> p classmt-1 text-xs>Stop prompt injection, data leakage, and agent abuse with policy guardrails./p> /div> div classcard p-4> div classtext-sm font-semibold text-white>Unified Analytics/div> p classmt-1 text-xs>Centralize logs, scoring, and alerts for faster, safer scaling./p> /div> /div> /div> /div> div classmt-10 grid gap-6 sm:grid-cols-1> div classcard p-5> h3 classfont-medium>AI Firewall — High-level business overview/h3> p classmt-2 text-sm>Protects AI systems from prompt injections, data leakage, hallucinations, compliance lapses, and agent abuse. Combines prompt scanning, canary detection, ML policy enforcement, output filtering, logging, and analytics with real-time, low-latency integration at the edge, via API, or on‑prem./p> /div> /div> /section> section idai-firewall classmt-14 text-slate-300 x-showactiveTab ai-firewall x-transition x-cloak> div classcard p-6> div classflex flex-col gap-3 sm:flex-row sm:items-center sm:justify-between> h2 classtext-xl font-semibold text-slate-100>AI Firewall/h2> div classflex items-center gap-3> a hrefhttps://www.fraudfenceai.com target_blank relnoopener noreferrer classbtn btn-primary>Visit fraudfenceai.com/a> /div> /div> div classmt-4 grid gap-6 sm:grid-cols-2> div classcard p-4> h3 classfont-medium>Product Purpose/h3> p classmt-1 text-sm>Protect AI systems from prompt injections, data leakage, hallucination, compliance lapses, and agent abuse./p> /div> div classcard p-4> h3 classfont-medium>Core Modules/h3> ul classmt-2 list-disc pl-5 text-sm space-y-1> li>Prompt scanning/li> li>Canary detection/li> li>ML policy enforcement/li> li>Output filtering/li> li>Logging/li> li>Analytics/li> /ul> /div> div classcard p-4> h3 classfont-medium>Integration/h3> p classmt-1 text-sm>Edge, API, on-prem; real-time, low-latency capable./p> /div> div classcard p-4> h3 classfont-medium>Advanced Features/h3> ul classmt-2 list-disc pl-5 text-sm space-y-1> li>Threat simulation/li> li>Canary prompts/li> li>Layered agent defenses/li> /ul> /div> div classcard p-4> h3 classfont-medium>Business Value/h3> p classmt-1 text-sm>Security, compliance, trust, and safe scaling of AI workflows./p> /div> div classcard p-4 sm:col-span-2> h3 classfont-medium>New Business Ideas/h3> ul classmt-2 list-disc pl-5 text-sm space-y-1> li>Policy Packs marketplace (PCI, HIPAA, SOC2)/li> li>Agent Firewall for RPA and workflow orchestrators/li> li>LLM Data Loss Prevention (DLP) for chats and tools/li> li>Compliance autopilot: audit logs, evidence, and reports/li> li>Plugins: Shopify, WordPress, Zendesk, Slack, CRM/li> li>Fraud intel feed: crowdsourced jailbreak and prompt signals/li> li>Insurance partnerships for premium discounts/li> li>Managed rules with weekly threat updates/li> /ul> /div> /div> /div> /section> section idcontact classmt-14 text-slate-300 x-showactiveTab contact x-transition x-cloak> div classcard p-6> h2 classtext-xl font-semibold text-slate-100>Contact Us/h2> p classmt-2 text-sm>Have a question or want a demo? Send us a message and we’ll get back within 1 business day./p> form classmt-6 grid gap-4 sm:grid-cols-2 x-data{ name: , email: , product: AI Firewall, message: , sent: false, error: , send() { this.error ; if (!this.name || !this.email || !this.product || !this.message) { this.error Please fill out all fields.; return; } const subject encodeURIComponent(`Contact: ${this.product} — ${this.name}`); const body encodeURIComponent(`Product: ${this.product}\nName: ${this.name}\nEmail: ${this.email}\n\n${this.message}`); window.location.href `mailto:4aimlcontact@gmail.com?subject${subject}&body${body}`; this.sent true; } } @submit.preventsend()> div classsm:col-span-1> label forc-name classblock text-sm text-slate-300>Name/label> input idc-name typetext x-model.trimname classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 placeholder-slate-400 outline-none focus:border-indigo-400 placeholderYour name /> /div> div classsm:col-span-1> label forc-email classblock text-sm text-slate-300>Email/label> input idc-email typeemail x-model.trimemail classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 placeholder-slate-400 outline-none focus:border-indigo-400 placeholderyou@example.com /> /div> div classsm:col-span-2 sm:col-span-1> label forc-product classblock text-sm text-slate-300>Product/label> select idc-product x-modelproduct classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 outline-none focus:border-indigo-400> option>AI Firewall/option> /select> /div> div classsm:col-span-2> label forc-message classblock text-sm text-slate-300>Message/label> textarea idc-message rows4 x-model.trimmessage classmt-1 w-full rounded-lg border border-white/10 bg-slate-800 px-3 py-2 text-slate-100 placeholder-slate-400 outline-none focus:border-indigo-400 placeholderHow can we help?>/textarea> /div> div classsm:col-span-2 flex items-center justify-between> div classtext-sm text-emerald-400 x-showsent x-transition>Thanks! Your message has been queued./div> div classtext-sm text-rose-400 x-showerror x-transition x-texterror>/div> div classflex items-center gap-3 ml-auto> a href# @click.preventsend() classbtn btn-outline>Email/a> button typesubmit classbtn btn-primary>Send/button> /div> /div> /form> /div> /section> /main> footer classmt-20 border-t border-white/10 py-8 text-center text-sm text-slate-400> © 2025 FraudFenceAI. All rights reserved. /footer> script> function appState() { return { username: , password: , remember: true, error: , isAuthenticated: false, currentUser: null, activeTab: login, metrics: { aiFirewall: { promptInjections: { target: 128436, display: 0 }, dataLeakage: { target: 48217, display: 0 }, jailbreaks: { target: 1643, display: 0 }, policyViolations: { target: 8920, display: 0 } } }, metricsSourceUrl: metrics.json, metricsRefreshMs: 60000, metricsIntervalId: null, init() { try { const saved localStorage.getItem(authUser); if (saved) { this.currentUser JSON.parse(saved); this.isAuthenticated true; this.username this.currentUser.username || ; } } catch (e) { console.warn(Failed to read saved auth state, e); } // Load metrics from JSON if available, then refresh periodically try { this.loadMetrics(); } catch {} try { this.metricsIntervalId setInterval(() > this.loadMetrics(), this.metricsRefreshMs); } catch {} }, login() { this.error ; if (!this.username || !this.password) { this.error Please enter both username and password.; return; } // Demo-only credential check if (this.username admin && this.password fraudfenceai) { this.currentUser { username: this.username }; this.isAuthenticated true; if (this.remember) { try { localStorage.setItem(authUser, JSON.stringify(this.currentUser)); } catch {} } // Clear sensitive data this.password ; } else { this.error Invalid credentials. Try admin / fraudfenceai.; } }, logout() { this.isAuthenticated false; this.currentUser null; try { localStorage.removeItem(authUser); } catch {} // Keep username field for convenience }, formatNumber(num) { return Intl.NumberFormat().format(Math.floor(num || 0)); }, startDashboardCounters() { const durationMs 1800; const startTs performance.now(); const easeOutCubic (t) > 1 - Math.pow(1 - t, 3); const step (now) > { const p Math.min(1, (now - startTs) / durationMs); const e easeOutCubic(p); // AI Firewall this.metrics.aiFirewall.promptInjections.display this.metrics.aiFirewall.promptInjections.target * e; this.metrics.aiFirewall.dataLeakage.display this.metrics.aiFirewall.dataLeakage.target * e; this.metrics.aiFirewall.jailbreaks.display this.metrics.aiFirewall.jailbreaks.target * e; this.metrics.aiFirewall.policyViolations.display this.metrics.aiFirewall.policyViolations.target * e; if (p 1) requestAnimationFrame(step); }; requestAnimationFrame(step); }, applyMetrics(data) { if (!data) return; const af data.aiFirewall || {}; if (typeof af.promptInjections number) this.metrics.aiFirewall.promptInjections.target af.promptInjections; if (typeof af.dataLeakage number) this.metrics.aiFirewall.dataLeakage.target af.dataLeakage; if (typeof af.jailbreaks number) this.metrics.aiFirewall.jailbreaks.target af.jailbreaks; if (typeof af.policyViolations number) this.metrics.aiFirewall.policyViolations.target af.policyViolations; }, loadMetrics() { const seedEl document.getElementById(metrics-seed); const useSeed () > { try { const seed JSON.parse((seedEl && seedEl.textContent) || {}); this.applyMetrics(seed); if (this.isAuthenticated && this.activeTab login) this.startDashboardCounters(); } catch {} }; if (!this.metricsSourceUrl) return useSeed(); fetch(this.metricsSourceUrl, { cache: no-cache }) .then(r > r.ok ? r.json() : Promise.reject(new Error(status))) .then(json > { this.applyMetrics(json); if (this.isAuthenticated && this.activeTab login) this.startDashboardCounters(); }) .catch(() > useSeed()); } }; } /script> /body> /html>
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