A sales team builds an agent to summarize customer accounts. Then it gets tools to update records, send emails, and submit orders. Each addition changes what your organization needs to govern, and the agent’s identity may hold far more authority than its task requires. As teams build more agents, AI identities can outnumber the people responsible for them.
What’s inside
- Discover which AI identities are already operating across enterprise platforms, custom applications, and business-led deployments, and what each one can reach.
- Protect with ownership, purpose, and permissions that match the task, plus runtime boundaries and human approval for consequential actions.
- Manage agents as their purpose and ownership change, from reassessment through verified retirement.
- A ready-to-use checklist that brings the readiness questions together so you can record status, evidence, owner, and next action for each requirement.
You’ll learn how to:
- Identify agents that sit outside centrally approved projects
- Separate an agent’s permissions from its owner’s permissions
- Keep delegated work within its original task boundaries
- Check actions against policy before they execute
- Confirm that retiring an agent actually removes its ability to act
Who it’s for:
Identity and access management, security, and governance leaders responsible for AI adoption, and the business teams building agents.
