Proving Data Sovereignty for Agentic AI

Agentic AI increases governance risk because autonomous workflows can cross multiple data domains without a human approving each access. This insight defines four controls CDOs must be able to evidence: accountable ownership, end-to-end lineage, consistently enforced access policies, and rapid auditability. It also explains how a unified governance layer, including Databricks Unity Catalog, can connect these controls across data and AI assets. Leaders should use these proofs to determine whether their data platform is ready for sensitive AI workloads and regulatory scrutiny.