An AI Agent Needs Its Own Identity—not a Copy of Yours

An enterprise AI agent needs a distinct non-human identity instead of a user credential copied into its runtime. That identity identifies the agent; delegation records whose authority it carries; application identity identifies the software client making the request. Keeping those roles separate makes access attributable, reviewable and revocable.

The practical control is a governed record created before production access. It connects a stable agent identifier to its owner, purpose, credentials, permitted tools, delegation source, expiry, provenance and revocation path, then follows that information through deployment and every authorization decision.

Three identities answer three security questions

Agent identity answers: which non-human actor planned or executed this work? It may identify a deployed service, a task-specific instance or a parent agent with child instances. It must remain distinguishable from the person or service that requested the task.

User delegation answers: who authorized the agent to perform this particular action, and within what boundary? A useful delegation records the principal, purpose, resources, permitted actions, conditions and expiry. Successful authentication of the agent proves control of its credential; it does not establish that every action falls within the delegator’s approval.

Application identity answers: which registered client or workload is communicating with the authorization server or tool? One application may host several agents, and one agent may call several applications. The roles can coincide in a simple deployment, but storing only a client ID can conceal which autonomous component acted and under whose authority.

NIST authors warn that giving personal or enterprise credentials to agents creates accountability gaps and argue that agents should have unique identifiers, credentials and entitlements bound to the relevant user or operating system in their discussion of agentic AI’s identity foundation. The point is not to detach the agent from its human sponsor; it is to represent that relationship without impersonation.

The minimum viable agent identity record

Create one authoritative record before issuing production credentials. It can reside in an identity directory, service catalog or policy repository, provided that authorization and audit systems can resolve its stable identifier.

• Owner: the accountable team and an operational contact authorized to approve changes or stop the agent.
• Purpose: the approved business task, deployment environment and prohibited uses.
• Credentials: credential type, issuer, subject or workload identifier, binding method, rotation policy and status—never the secret itself.
• Tool scope: permitted tools, target resources, data classes and actions, including transaction or approval limits where relevant.
• Delegation source: the human, service or policy granting authority, the approval reference and whether onward delegation is permitted.
• Expiry: separate end times for the agent registration, each delegation and short-lived runtime credentials.
• Provenance: agent and policy versions, originating request, relevant input references, tool calls and resulting action identifiers.
• Revocation: who can disable the identity, which credentials and sessions must end, and which downstream systems must receive the signal.

This is an operational minimum, not a substitute for an asset inventory or AI governance file. Model suppliers, evaluations and retention rules can remain in linked records, but the identity record should hold immutable references to anything that changes an access decision.

Register first, then issue replaceable credentials

An identity should survive credential rotation. The record describes what the agent is and how it is governed; a certificate, workload credential or token is replaceable evidence presented at runtime. Making a key or token identifier the identity itself breaks audit continuity when that credential changes.

At design approval, assign the stable identifier, owner and purpose, decide whether task instances need child identities, and reject designs that depend on a person’s password or reusable session cookie. At deployment, attest the workload where the platform supports it, separate production credentials from development credentials, and confirm that the application, agent and credential subject resolve to the intended relationship.

The draft NCCoE concept paper treats agent identification, authentication, authorization, access delegation, logging and data provenance as related control areas while explicitly seeking input on metadata, key management, least privilege, on-behalf-of authority and revocation. The proposed record turns those open design questions into fields that a deployment gate can inspect.

Authorize the agent at every tool boundary

Do not clone the delegator’s complete entitlement set. Derive authority from the agent’s approved tool scope and a current delegation, then narrow the runtime grant by resource, action, audience and time. Authentication establishes which workload is calling; authorization must still evaluate the agent, delegator, requested operation and current context.

At each tool boundary, validate the credential’s issuer, intended recipient and expiry, verify any proof of possession, and apply the resource policy. A sensitive operation may require fresh human approval, but the resulting audit trail should still name the agent that proposed and executed the action rather than recording the human as the direct caller.

NIST’s initial preliminary Cyber AI Profile calls for unique and traceable identities and credentials for AI systems, protected and verified identity assertions, separate permissions for agents, least privilege, and managed and reviewed authorizations. Because it remains a draft, it is emerging guidance rather than a final implementation standard.

Record the agent, application, delegation, policy version, decision and tool result under one transaction identifier. Preserve the distinction between an action the agent proposed, one a principal approved and one a tool actually executed; otherwise provenance becomes a list of events without a defensible chain of authority.

Review and revoke relationships, not only keys

Review access when the owner, purpose, agent version, connected tool, data sensitivity or delegation policy changes, as well as on a risk-based schedule. Expire dormant permissions even when no deployment event prompts a review.

Revocation must disable new credential issuance and address active credentials, cached sessions, scheduled work, queued jobs and downstream grants where the relevant systems support those controls. Preserve the inactive identity and its audit history.

If a user leaves or withdraws consent, revoke that delegation without erasing the agent or unrelated grants. If the agent is decommissioned, terminate every credential and delegation attached to it. That two-way mapping is why an agent’s own identity is a security boundary rather than a renamed copy of someone else’s account.

Also read:

• A Data Room’s Security Depends on Configuration, Not Its Feature List
• Hush Security Raises $30M to Give Every Enterprise AI Agent an Identity
• A Hashtag Is Not Permission: Six Elements a Modern UGC Campaign Needs