AI governance is the system of accountability, policies, controls, and oversight that allows an organization to adopt AI confidently. It spans the executive, board, technology, risk, privacy, legal, and operations functions — and increasingly, regulators expect it to be evidenced, not just declared.
Without governance, AI introduces compounding risk: shadow tools, unmanaged vendors, privacy violations, biased outcomes, audit failures, and reputational exposure. With governance, AI becomes a managed business capability — auditable, defensible, and aligned with strategy.
- Clear executive and board accountability
- Documented policies, standards, and exceptions
- Risk assessments tied to controls and owners
- Evidence collection ready for audit
- Vendor and third-party AI oversight
The AI Trust Assessment™ identifies governance gaps; Core™ provides governance records and policy resources; Command™ presents recorded and assessment-derived information; and Sentinel™ supports incident governance. Operational monitoring requires configured data-source integrations.