Threat Intelligence
Public signal from real agent-risk traffic
This page shows aggregate threat patterns seen by Guni-protected AI-agent workflows. It is designed to be safe to share publicly: counts are aggregated, customer details are omitted, and the goal is to show what the adversarial web looks like for browser agents in practice.
Why this matters
Prompt injection is not theoreticalAgents read hidden DOM content and can follow malicious instructions that humans never see.
UI and redirect abuse are real execution risksBrowser agents can be pushed into unsafe clicks, forms, and workflow detours if no policy layer sits in front.
Buyers need proofThis feed complements the demo, portal, and security pages with public-facing product evidence.
0Total scans0 scans in the last 24h
0Threats blocked0% block rate
-Top threatWaiting for threat breakdown
OnlineFeed healthUses the public threat-feed API
Threat Breakdown
Recent Feed Notes
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Want this protection in your workflow?
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