Black Hat 2026: Governing AI Agents From Access to Action
theCUBE Research, Monday, August 17th, 2026
Enterprise AI agents need governance spanning identity, authorization, data security and runtime controls.
As AI agents move from answering questions to taking autonomous actions across business processes, enterprises need comprehensive governance models.
Organizations must inventory agents, manage agent identities separately from human users, and implement continuous authorization rather than one-time decisions.
Human accountability must be preserved without requiring approval of every action. Multiple control points from discovery through monitoring need coordination to keep agents inside acceptable risk parameters.