@vintcessun: Agent security can now go beyond monitoring tool calls and even read its reasoning process in real time. Before an agent executes an action, Adrian checks both the behavior logs and the reasoning chain, cross-referencing between the two dimensions. The result? A DeepMind paper shows that joint analysis improves accuracy by 35% over behavior-only checks. It…

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ai-security agent-monitoring open-source langchain runtime-security reasoning-chain joint-analysis

Summary

Adrian is an open-source AI agent runtime security monitoring engine that detects anomalies by jointly analyzing the agent’s behavior logs and reasoning chain, improving accuracy by 35% over behavior-only checks. It supports LangChain integration with a two-line SDK.

Agent security can now go beyond monitoring tool calls and can even read its reasoning process in real time. Before an agent executes an action, Adrian checks both the behavior logs and the reasoning chain, cross-referencing between the two dimensions. The result? A DeepMind paper shows that joint analysis improves accuracy by 35% over behavior-only checks. Instead of matching attack patterns from the training set, it uses a lightweight world model to understand what the agent “should be doing” and directly blocks or alerts on suspicious context. Open-source, self-hosted, and integrates with LangChain via a two-line SDK.
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Open-source runtime security monitoring and control for AI agents. Documentation • Dashboard • Discord • LinkedIn

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