Most AI agent security tools filter inputs before they reach the model. Sentinely works inside the pipeline, scoring every action before it executes. It detects prompt injection, tracks each agent's behavioral baseline and flags drift, quarantines suspicious memory writes, and catches multi-agent manipulation. Every action is logged with a full audit trail for SOC2 and EU AI Act compliance. 3-line integration. Works with LangChain, CrewAI, OpenAI, and Vercel AI SDK.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

I started building this after watching an AI agent I deployed for a client get manipulated mid session. A prompt injected through a tool response gradually shifted its behavior over 20 interactions until it was doing something completely outside its original task. By the time I caught it, the damage was done. I looked for something that could catch this at runtime and found nothing that actually understood agent behavior just perimeter filters that block obvious injections but miss the subtle stuff. Sentinely is what I wished existed. It tracks each agent's behavioral baseline from the moment it starts, scores every action in context, and flags when something starts drifting even if each individual step looks innocent.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Sentinely

Runtime security for AI agents. 3 lines integration.

Runtime security for AI agents. 3 lines integration.