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.
Prepares you for: AAISM
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
- Part 1Where the requirement comes from 18 min
- Part 2How small teams and enterprises meet it 16 min
- Part 3Purpose, autonomy and accountability 22 min
- Part 4Identity, permissions and tools 24 min
- Part 5Guardrails, approval and injection 22 min
- Part 6Logging, monitoring and stopping 20 min
- Part 7Hands-on lab: small team choose one 22 min
- Part 8Hands-on lab: enterprise choose one 24 min
- Part 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.