AI data governance is an extension of traditional governance that focuses on managing the unique risks and complexities of AI systems. It ensures that data feeding AI systems is visible, well-understood, and governed by context-aware metadata—capturing provenance, usage constraints, and trust signals. This enables enterprises to safely scale AI, enforce data policies at the point of use, and ensure decisions are grounded in reliable information.

Learn more about AI data governance in our Knowledge Center.