AI Governance

AI governance is the set of policies, controls, and accountability mechanisms that determine what an AI system is allowed to do, and that create a record of what it actually did. It spans the lifecycle: which data a model may see, which actions an agent may take, and how every decision is logged for audit.

In regulated enterprises, governance that lives only in a slide deck or a policy document is not enforceable. Effective AI governance is applied in the request path - a control that runs, not a recommendation - so the gap between the written policy and the running system closes.