How to Write an AI Agent Runtime Evidence Request Response

A defensible AI agent runtime evidence response maps each requested item to a named control and a corresponding exportable artifact, such as a policy configuration, identity record, or audit log excerpt, rather than a narrative description of intent. The response should be organized by category (identity, permissions, policy enforcement, tool-call audit trail), reference the audit record content model of who, what, when, and outcome, and note which framework, such as NIST AI RMF or ISO/IEC 42001, governs the request.