Straight answers about governing AI agents
Short, direct explanations of the terms that come up when a regulated team puts an agent into production. No sign-up, no gate — the point is to be the page that answers the question.
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What is an AI control plane?
Where agent policy is decided and enforced, how gateways fit, and a worked approval with its limits.
Read the answer →DefinitionWhat is AI agent governance?
The definition, how it differs from model governance, and the six control areas to check before an agent runs in production.
Read the answer →DefinitionWhat is agentic AI governance?
Governing systems of agents, not just one: use-case approval, identity, tool governance, pre-execution policy, certified promotion and evidence that survives review.
Read the answer →RegulationSR 26-2 explained — and what replaced SR 11-7
SR 26-2 superseded SR 11-7 in April 2026 and placed generative and agentic AI outside its scope. What a bank still has to evidence, and where the gap sits.
Read the answer →When you want the detail
Each answer page links to the full treatment on the product side and in the blog.
The AI Governance Hub
Identity, runtime policy, approval gates, decision records and the agent registry.
The AI Control Plane
The layer that enforces all of it, assembled inside your own cloud.
How to evaluate an AI control plane
A buyer’s checklist, with the questions worth asking each vendor.
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