Fusionstek is an attacker-mindset EASM platform built to reduce real external risk and AI Shadow exposure. It discovers internet-facing assets, verifies what’s reachable, and maps likely breach paths with evidence. AI Shadow flags exposed AI endpoints (/chat, /agent, /tools), public model artifacts, vector DB exposure, leaked AI keys, and risky CORS. Drift monitoring catches new exposures and regressions. Launching for feedback + collaborators on signal quality and workflows.
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Maker
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I built Fusionstek because security output is full of noise — and AI Shadow is making it worse. We focus on attacker reality: discover → verify → map breach paths → monitor drift. AI Shadow highlights exposed AI endpoints, public model artifacts, vector DB exposure, leaked keys, and risky CORS so teams fix what matters first.
I’m launching for feedback/collab: which signals would you trust most, and what would make this decision-ready for your org?
Request access: fusionstek.com/demo
App (login): app.fusionstek.com