Everyone claims AI governance now. 15 questions to test the claim.

“Governance” has become a fixture in enterprise AI announcements.

Identity, security, orchestration, infrastructure, and data platform vendors offer products for agent safety, governance, and control, bringing welcome attention to a problem enterprises need to solve.

As the claims grow broader, CIOs and risk leaders need to get more precise about what they are buying.

Look closely at those offerings and the capabilities differ.

Some restrict an agent’s access, test how an agent behaves before launch, or collect records for an audit.

Your exposure depends on how those capabilities connect and where their coverage ends.

A vendor evaluation needs to show whether the controls cover your agents, apply your business rules, and keep working as both change.

One floor, no loop Controls within that stack test behavior, restrict access, stop activity, and document outcomes.

Each serves a necessary purpose, and each has boundaries that a governance claim should make clear.

The pattern to watch for is one floor and no loop: a useful capability presented as complete governance, with little clarity about what happens after deployment.

A stack without a lifecycle is incomplete.

Buyers need evidence that the controls will remain effective as agents, rules, and environments change.

Continue reading at the original source →