Governing AI is now a product, not a policy

Proofpoint announced a system that treats data security and AI security as one connected risk, giving agents access only to the data their intent requires and turning existing business policies into runtime controls.

Salesforce introduced its Enterprise AI Harness: six capabilities spanning context, agency, action, governance, security and models, plus an AI Control Plane as one place to see and manage agents across the business.

Teradata turned its assistant Tera into an agentic coworker with a vendor-neutral context engine and an execution layer that routes work across skills, tools, data and models.

Three different vendors, converging on the same missing piece: agents are only as safe as the layer that decides what they may touch. The model is becoming the commodity. Context, permission and audit are becoming the product.

That should change what a board asks about. Not "which model are we using?" but "what can it reach, on whose authority, and where is that written down?"

Map agent access the way you map employee access. Least privilege applies to software that acts, too.

Log intent, not just output. When something goes wrong, you need to know why the agent thought it should act.

Keep the control layer vendor-neutral. You will change models. You should not have to change your governance every time you do.