Governing Agentic AI: Permissions, Tools and Oversight
AI agents don't just answer, they act. Decide what an agent may do, control its tools and permissions, and stop it safely when something goes wrong.
What you'll be able to do
- Decide how much autonomy an agent gets for each type of action
- Give agents their own identity with least-privilege permissions
- Require approval for consequential actions and show approvers what matters
- Log, monitor and test a stop procedure before the agent goes live
An agent governance record
What's in it. Purpose and scope, autonomy by action type, identity and permissions, tools and their review, approval rules and what approvers see, guardrails in code, logging and monitoring, the tested stop procedure and the accountable owner.
You build it lesson by lesson, using your own organization, and submit it for your certificate. It's yours to keep and adapt.
Who it's for
Engineering leaders, security architects and AI governance teams deploying agents.
What's inside
- 1Where the requirement comes from 18 min
- 2How small teams and enterprises meet it 16 min
- 3Purpose, autonomy and accountability 22 min
- 4Identity, permissions and tools 24 min
- 5Guardrails, approval and injection 22 min
- 6Logging, monitoring and stopping 20 min
- 7Hands-on lab: small team choose one 22 min
- 8Hands-on lab: enterprise choose one 24 min
- 9Finish and submit your deliverable 20 min
Built for your size
The requirement is the same everywhere. How you meet it depends on who you have. You pick the lab that matches your organization.
How you earn the certificate
Submit your finished deliverable, which is scored against a published rubric, and pass a short scenario quiz. Your certificate goes to your wallet and can be checked by anyone on the public register.