Don't use an LLM to decide what your AI agent is allowed to do
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Critical advice on AI agent authorization, directly addresses agent orchestration security.
Summary
Using an LLM as a security gate for AI agents replicates the same vulnerability it aims to fix—both the agent and the judge are susceptible to prompt injection and non-deterministic outputs. A second LLM judging tool calls doesn't eliminate the core weakness; it just adds another reasoning surface that can be manipulated. Deterministic rules, like denying production database deletes, provide auditable, repeatable enforcement that sampling-based models cannot guarantee.