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Do not give an AI agent your password, desktop login, or an unrestricted API key. Create a separate workload identity for the agent, then delegate only the authority needed for a defined task. Bind that identity to the responsible person, team, or organization, and record the delegation, policy decision, tool calls, approvals, and results.
This model answers the practical question “How do I give an AI agent access without giving it my account?” A user account identifies a principal. An agent identity identifies a running workload and the constrained authority it is allowed to exercise on that principal’s behalf.
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What an AI agent identity is
An AI agent identity is a machine-verifiable representation of a particular agent workload, plus the authority delegated to it. It is more than a username and more than a token. A useful identity record binds five things:
- Delegating principal: the human, team, or organization responsible for the task.
- Agent workload: a unique identifier and credential for the running agent or service.
- Runtime context: deployment, environment, attestation, and software-supply-chain state when those signals are available.
- Authority: permitted resources, actions, audience, purpose, spend or data limits, expiration, and delegation depth.
- Evidence: policy decisions, consent or approvals, tool calls, outputs, provenance, and revocation events.
NIST’s 2026 framing is explicit: “For organizations to have confidence in transactions, agents need to be treated like first-class entities with their own unique identifiers, credentials, and associated entitlements that are bound to and by the identity of the user or system operating the agent.”
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The agent therefore has its own cryptographic identity, but it does not become an independent owner of the user’s rights. Its authority is delegated, limited, monitored, and revocable.
Why sharing a user account fails
Putting an agent behind a person’s account is convenient because existing applications already understand the login. It is also the fastest way to lose meaningful accountability.
Impersonation replaces attribution
If an agent uses a user’s password, session cookie, or bearer token, a log generally sees the user. Investigators cannot reliably distinguish an action the person performed from one generated by software, a compromised plug-in, or an attacker who copied the same secret. NIST recommends unique identifiers, credentials, and entitlements for agents because shared credentials weaken non-repudiation.
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Inherited permissions are usually excessive
A local desktop or repository account often includes access accumulated over months: private files, production consoles, source code, email, and billing systems. An agent operating at machine speed can discover and use paths the person never intended to expose for the current task.
Revocation becomes disruptive
When the same credential is used by a person and several agents, revoking one agent means changing the user’s password, invalidating sessions, or breaking unrelated automation. A distinct identity lets an operator disable one workload without removing the principal’s access everywhere.
Identity and authorization are different layers
Two questions must be answered separately:
- Who or what is making this request? Workload-identity systems such as SPIFFE/SPIRE can issue and verify a cryptographic identity for a service or running workload.
- What is that identity allowed to do here? OAuth 2.0, token exchange, and policy systems express delegated access to a resource, often with scopes, audiences, expiry, and contextual conditions.
An authenticated agent can still be unauthorized for a specific action. Conversely, a valid authorization token should not be treated as proof that an unknown process is the intended workload. Keep identity verification and authorization decisions distinct, then connect their records in the audit trail.
What a delegated request should contain
For a high-impact operation, the receiving service should be able to evaluate more than “token is valid.” A practical request context includes:
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- the agent’s unique workload identifier and credential;
- the delegating principal and the delegation chain;
- the target resource and action;
- the intended audience and purpose;
- runtime or attestation signals, if supported;
- limits such as amount, records, geography, or data sensitivity;
- expiration, replay protection, and delegation depth;
- approval or consent evidence for actions requiring a person; and
- the policy decision and reason for allow, deny, or escalation.
This context lets a policy engine distinguish “the deployment agent may read test data for this build” from “the user can read everything.” It also makes an approval meaningful: the reviewer sees what will happen, to which resource, under which limits, and on whose behalf.
Use short-lived, constrained credentials
Static API keys and long-lived bearer tokens are poor defaults. A bearer secret normally proves possession, not the identity of the workload that obtained it. If it appears in a source file, environment dump, crash report, or log, whoever copies it may reuse it until expiration or manual rotation.
Prefer credentials that are:
- Short-lived: expiration limits the window after theft.
- Audience-restricted: a token issued for one API cannot be replayed at another.
- Least-privilege: authorize only the resources and actions required for the task.
- Purpose- and transaction-limited: include spend, record-count, or operation constraints when the system supports them.
- Sender-constrained: bind use to a particular key or channel with mechanisms such as mutual TLS, HTTP signatures, or DPoP where practical.
- Exchangeable: let an agent trade an upstream credential for a narrower downstream token rather than forwarding the original user credential.
Do not copy a user password into an agent’s environment. If a legacy service accepts only a static key, isolate that integration, restrict the key at the service, store it in a dedicated secret manager, monitor its use, and set a rotation and retirement date.
The emerging standards stack
There is no single finished “AI-agent identity standard.” NIST’s 2026 public-comment summary describes an emerging compositional standards stack. Each layer solves a different problem, and implementations will combine several of them.
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|---|---|---|
| Workload identity | SPIFFE/SPIRE; WIMSE drafts | Is the identity cryptographically bound to the workload and portable across environments? |
| Delegated authorization | OAuth 2.0; token exchange; identity chaining | Can authority be delegated and attenuated without inheriting every user right? |
| Fine-grained policy | Rich Authorization Requests (RAR), AuthZEN, Cedar, OPA, NGAC | Can decisions use resource, action, context, intent, and risk? |
| Runtime authentication | mTLS, HTTP signatures, attestation, DPoP | Are credentials tied to the sender and resistant to replay? |
| Revocation and signals | OpenID Shared Signals, CAEP, RISC | Can a long-running agent lose authority quickly after compromise or policy change? |
| Evidence and provenance | SCITT, tamper-evident logs, cryptographic receipts | Can an auditor reconstruct who delegated what, to which agent, and why? |
| Interoperability | MCP for tools and resources; A2A for agent collaboration | Are protocol integrations treated as transport layers rather than complete identity systems? |
SPIFFE/SPIRE and core OAuth are operational foundations. WIMSE and several agent-specific drafts are still evolving, while NIST evaluates combinations for concrete use cases. Profiles and implementation guidance for MCP and A2A authorization are also developing, so architecture decisions should be revisited as those specifications mature.
Eight steps to deploy an agent identity
1. Inventory the work and its danger
List every agent use case, tool, data store, irreversible action, and external destination. Mark operations that move money, publish content, delete data, change permissions, or disclose sensitive information. Separate read, write, and administrative paths instead of giving the agent one broad role.
2. Create a distinct workload identity
Assign the agent a stable identifier that is different from a person’s account and from other agents. Issue a credential through your workload-identity system or an equivalent controlled issuer. Define whether the identity follows a service, a deployment, or an individual run; each choice changes how you investigate and revoke it.
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3. Bind it to the delegating principal
Record who authorized the task: a person, team, or organization. Preserve that relationship in the token or authorization context rather than replacing the principal with the agent. If an agent delegates to another agent, retain the complete chain and enforce a maximum delegation depth.
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Use token exchange or an equivalent mechanism to mint a credential for the exact audience and operation. Set expiry, scopes, resource limits, and purpose. Avoid forwarding a broad upstream token to every tool.
5. Enforce policy at every boundary
Check identity and authorization at each tool, API, database, and file boundary. Include transaction or intent context for high-impact actions. A policy decision should be able to deny an otherwise authenticated request because the amount, destination, purpose, or runtime context is outside the delegation.
6. Add attestation or sender constraints
Where the platform supports it, verify that the credential is being used by the expected workload, deployment, or hardware-backed key. Mutual TLS, signed requests, DPoP, and attestation reduce replay risk; choose the mechanism your environment can operate reliably.
7. Record the authority chain
Write tamper-evident records for the original request, principal, agent identity, delegation, policy inputs and decision, approval, each tool call, returned data, agent output, and any resulting change. Logging only the final API call leaves out the reason the action was permitted and the evidence needed to challenge it.
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Provide an immediate kill switch for the agent identity and its issued credentials. Feed compromise alerts, employment or team changes, policy updates, and runtime health signals into re-evaluation. Long-running agents should not retain yesterday’s authority indefinitely.
Common failure modes and fixes
Credential sharing
Symptom: several agents and a person use one login. Fix: issue separate workload identities and preserve the delegation link to the person or organization.
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Long-lived API keys
Symptom: a key is copied into configuration or logs and grants broad access. Fix: replace it with short-lived, audience-restricted, sender-constrained credentials; if replacement is impossible, isolate and rotate the legacy key.
Local user accounts
Symptom: an agent runs as the desktop user and can browse unrelated files or repositories. Fix: run it in a separate workload boundary with an explicit filesystem, network, and tool allow-list.
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Overbroad scopes
Symptom: the agent can discover unintended resources or perform destructive operations. Fix: split read and write permissions, restrict resources and actions, and require a fresh approval for irreversible work.
Approval fatigue
Symptom: users click “allow” on repetitive prompts without reading them. Fix: group low-risk operations under a bounded policy and reserve human approval for high-impact, unusual, or irreversible transactions. Show the exact action, target, limits, and agent identity.
Outcome-only logging
Symptom: logs show a timestamp and API result but not who delegated the action or what the agent intended. Fix: capture the complete authority chain, policy inputs, approvals, tool arguments, outputs, and provenance in tamper-evident storage.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Adapt the trust boundary to the deployment
Do not assume one identity design works unchanged everywhere.
- Cloud workloads: bind identity issuance to the deployment platform and separate development, staging, and production audiences.
- Containers: avoid treating a container name as proof of identity; use workload credentials and verify the image or runtime state where possible.
- Local agents: isolate files, network destinations, and operating-system capabilities from the user’s full desktop account.
- MCP tools and resources: treat the protocol as an integration path. Authenticate the calling workload and authorize each tool or resource operation independently.
- Multi-agent systems: give every agent its own identity, record which agent delegated to which, and limit delegation depth and cumulative authority.
How to prove which agent acted
A defensible record must answer six questions: who was responsible, which workload ran, what authority was delegated, what policy allowed the action, what the agent actually called, and what evidence resulted. Preserve identifiers rather than relying on display names, synchronize timestamps, protect logs against alteration, and link each tool call to the decision that authorized it.
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For sensitive transactions, retain a cryptographic receipt or equivalent tamper-evident evidence that covers the request, identity, delegation, decision, and result. This is stronger than a generic “service account succeeded” entry because it supports reconstruction and dispute resolution.
Where service accounts fit
A service account can be an implementation component of an agent identity, but it is not automatically a complete design. A conventional service account often identifies a static application and carries a standing role. An agent identity must additionally express the runtime workload, the human or organizational principal that delegated the task, the purpose and limits of the current authority, and the evidence trail.
Use a service account only when its permissions, credential lifetime, workload binding, delegation, and audit records meet those requirements. Otherwise it is merely a convenient name for a broad, reusable secret.
What NIST has and has not established
NIST SP 800-63 Revision 4, published in 2025, covers identity proofing, authentication, federation, security, and privacy; it does not provide a single agent-specific adoption statistic. NIST’s AI Agent Identity and Authorization concept paper, published through the NCCoE project in 2026, solicits standards-based approaches for identification, authorization, auditing, and non-repudiation. The available material does not establish a universal prevalence or return-on-investment figure.
The practical conclusion is architectural rather than numerical: treat agents as first-class, attributable workloads now, while expecting the standards profiles and implementation guidance to continue changing.
Frequently Asked Questions
Does every AI agent need its own identity?
Every independently deployed or independently authorized workload should have a distinct identity. Short-lived child runs may use an identity issued from a parent workload, but the delegation and run relationship must remain observable.
Can an agent ever use a user token?
Only through a controlled delegation or token-exchange flow that attenuates authority, restricts audience and lifetime, and preserves the user-to-agent chain. Do not place the user’s reusable password, session cookie, or broad bearer token in the agent.
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Disable the agent workload identity, revoke or expire its issued credentials, terminate active runs, and review downstream tokens and delegation chains. Do not assume changing a person’s password alone removes the agent’s access.
Are MCP or A2A identity standards?
They are interoperability layers for tools, resources, and agent collaboration. They do not by themselves answer who the workload is, what authority was delegated, how policy is enforced, or how evidence is retained.
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