Petri

Petri is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “MIT-licensed alignment auditing agent released by Anthropic and built on Inspect that runs multi-turn audits of a target model with simulated users and tools and scores transcripts for deception, oversight subversion, power-seeking, and other misaligned agentic behaviour.” Its MLSecOps relevance is the security of agent identities, tool permissions, memory, credentials, approval paths, sandboxes, runtime actions, or MCP integrations. The linked first-party source is the meridianlabs-ai/inspect_petri repository on GitHub. A technical review should test the project's documented evidence across four criteria: Tool-level authorization, Memory and context controls, Sandbox boundaries, and Audit and approval workflows. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.

MIT-licensed alignment auditing agent released by Anthropic and built on Inspect that runs multi-turn audits of a target model with simulated users and tools and scores transcripts for deception, oversight subversion, power-seeking, and other misaligned agentic behaviour

Neutral catalog description synchronized from the Awesome MLSecOps README