AI Governance
AI governance is the set of permissions, approval rules and audit requirements that decide what an AI system is allowed to do inside a company.
Governance is often discussed as policy, but the part that matters operationally is enforcement. A written rule that an agent may not email a customer without review does nothing unless the system stops at that point. Practical AI governance is therefore made of three things: the access an AI system inherits, the checkpoints it cannot skip, and the record of what it did afterwards.
The record is the piece companies underestimate. Once an AI system is taking real action across connected tools, the question auditors and security teams ask is not whether it is accurate but what it changed, on whose authority, and whether that authority was correct at the time. A system that cannot answer that cannot be governed, however careful its policy document is.