Verified Is Not Authorized: How Agent Guardrails Earn the Right to Act
TL;DR for operators An agent guardrail that learns from incidents must solve three different problems: produce a better rule, verify that the rule is executable and internally consistent, and establish enough evidence to let it control real actions. VEPA separates these responsibilities. An LLM proposes policy changes, a deterministic verifier rejects malformed or conflicting rules, and a Bayesian authority mechanism determines which verified rules may actively allow or refuse agent actions. ...