When agents act on their own, governance has to live in the data layer

As AI agents gain autonomy, enterprises should enforce governance at the data layer where access is actually granted or denied.

Real-time controls such as agent identity, role- and attribute-based access, column masking, and audit trails make policies executable.

Data-layer enforcement makes autonomous agent actions more auditable and harder to bypass than prompt-based or after-the-fact governance.