The AI governance imperative you can’t afford to ignore

The excerpt warns that organizations need full runtime visibility and continuous verification of AI agents to demonstrate what data and tools agents accessed, which instructions they executed, and where humans intervened; it advocates embedding governance controls—role-based access, policy-bound execution, provenance tracking, immutable logs, confidence scoring, exception handling, and clear escalation paths—into agent architectures to meet legal, compliance, and security requirements.