AegisKernel: A Zero-Trust Security Runtime for AI Agents

Summary

AegisKernel is presented as a zero-trust security runtime for AI agents that intercepts tool execution before actions reach protected systems. The page argues that probabilistic LLM guardrails can fail and promotes deterministic capability boundaries as the defense mechanism. Its sandbox demonstrates attack vectors including path traversal intended to steal `.env` files, SQL drop injection, and destructive root commands. The runtime claims to block autonomous tool hijacking in sub-millisecond time and exposes interception telemetry for the simulated executions. A two-line Python integration example uses `AegisShield` and a strict `SecurityPolicy` to protect an existing agent tool. The page lists LangChain, CrewAI and AutoGen as supported integration targets, but the supplied material does not provide independent test results or deployment details.