AI agent identity management is how a company decides who an agent is, whose authority it acts on, what it can access and how its actions are traced back to a person. As agents move from answering questions to updating records, sending emails and issuing refunds, this becomes the core of AI agent governance. An agent running on a shared admin key is, in identity terms, an anonymous superuser.
Why agents need their own identity model
Identity and access management was built for two kinds of actors: people and services. Agents are neither. They act on behalf of people, make their own decisions about which tools to call and can run continuously. That creates questions traditional IAM does not answer on its own:
- When an agent updates a record, who changed it: the agent, or the person it works for?
- Should an agent have the access of the person who launched it, or less?
- How do you revoke an agent's access when its owner leaves?
- How do you prove afterwards what an agent was allowed to do and what it did?
A framework for AI agent identity and access
1. Give every agent a unique identity
Each agent gets its own registered identity with a name, purpose and owner, instead of borrowing a shared service account. You cannot audit or revoke what you cannot tell apart.
2. Decide whose authority it acts on
There are two models. Delegated agents act on behalf of a specific user and should never exceed that user's permissions. Autonomous agents act as themselves, for example a nightly reconciliation agent, and get their own narrowly scoped role. Most business agents should be delegated.
3. Apply least privilege below the app level
Scope access to specific rows, columns and actions, not whole databases. A support agent may read orders for the customer in the current ticket and issue refunds up to $100, and nothing else.
4. Handle credentials centrally
Agents should never see raw database passwords or API keys. Credentials live in a managed layer that the agent calls through, with short-lived tokens where possible.
5. Put approvals in front of high-impact actions
Payments, deletions, external messages and permission changes wait for a named human approver.
6. Log every action to both identities
Each action records the agent, the user it acted for, the data touched and the result. That is what makes an incident investigation or an audit possible.
7. Manage the lifecycle
Provision agents through the same identity provider as people, review their access regularly, and deprovision them when their owner leaves or their purpose ends. SCIM and SSO integration make this automatic.
Common mistakes
- Running agents on a shared admin API key.
- Giving agents a human's full access "for now".
- Storing credentials in prompts or agent configuration files.
- Logging only the agent, not the person it acted for.
- Forgetting agents during offboarding.
Where Jet Admin fits
Jet Admin runs AI agents inside the same role model as the people who use them. Agents reach data from 200+ integrations through centrally managed connections, so they never hold raw credentials, and they see only the rows, columns and actions their user is allowed. Approval steps can sit in front of any action. Granular permissions, SSO and audit logs are on the Business plan and above; SCIM provisioning and on-premise or air-gapped deployment are on the Enterprise plan. See also RBAC for AI agents.
Frequently asked questions
What is AI agent identity management?
Giving each AI agent a distinct identity, defining whose authority it acts on, scoping its access and tracing its actions back to accountable people.
Should an AI agent have the same permissions as its user?
At most the same, and usually less. Delegated agents should be scoped to the task, not the user's full access.
How do you audit AI agent actions?
Log each action with the agent's identity, the user it acted for, the data accessed and the outcome, and retain those logs like other audit records.
Can existing IAM tools manage agents?
Partly. Identity providers can issue identities, but row- and action-level control usually has to be enforced where agents access data.
Give every agent an identity and a limit
Start with Jet Admin for free and build agents that act inside your permissions.