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

The piece examines the governance challenges that arise when enterprises grant AI agents increased autonomy to plan, decide, and act across systems without human approval. It asks what mechanisms can prevent an agent from executing unauthorized actions and who bears responsibility for its behavior. The authors suggest embedding security controls and access policies within the data layer to enforce governance.

Summary written by Kernelia from the original article by VentureBeat AI. The story and its rights belong to its author.