AI Agent Runtime Control Self-Assessment

An AI agent runtime control self-assessment is a structured, repeatable evaluation of whether an organization's agent identity, permission scoping, policy enforcement, tool-call governance, and audit logging controls actually hold in production, verified through technical evidence rather than self-reported claims.