What is Agentic AI Governance?
Agentic AI governance is the set of policies, controls, and oversight mechanisms used to manage AI systems that can plan, decide, and take actions with limited human intervention. It is important because autonomous or semi-autonomous systems can create faster-moving operational, legal, and security risks than standard predictive models.
In Depth
In practice, agentic AI governance covers permissioning, tool-use restrictions, logging, approval thresholds, rollback procedures, and monitoring of actions taken by the system. Compliance teams must define when the agent may act independently, what data it can access, which actions require human review, and how incidents are detected and reported.
This term is especially relevant as organizations deploy agents for customer service, coding, procurement, finance, and security operations. It aligns with the governance expectations in ISO/IEC 42001, the risk-based approach of the EU AI Act, and broader AI risk management guidance such as NIST AI RMF; it is also relevant to operational resilience and third-party risk expectations in frameworks like DORA and NIS2 where AI agents support critical functions.
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