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When an agent uses your password, API key, or personal access token, the service may record the credential’s owner as the actor. The agent may have made the change, but the audit log shows your name. Sharing a credential therefore passes along your identity and your permissions, adds the risk that the secret leaks, and removes any record of which agent acted and under whose authority. A safer design gives the agent its own identity, grants it access limited to the task and to a short time window, keeps the secret away from the model, and writes audit records that name the agent without storing the secret.
What the audit log can and cannot tell you
A credential is proof that a service accepts. It shows that whoever presented it passed the check. It does not show who or what is currently operating the client. NIST’s article “Back to the Future: Why Agentic AI Needs a Strong Identity Foundation” states the accountability problem directly: “Sharing credentials – between humans or agents – creates accountability gaps that can result in any number of security, privacy, and legal issues.” In practice, the service may know which account authenticated but not which agent, instruction, or delegated authority produced the action.
What gets inherited when you share a credential
Your name on the agent’s actions
When a deletion, merge, or purchase appears under your name, three explanations look identical in the log. You may have approved it. The agent may have acted on an instruction you never reviewed. Someone may have used a copied credential. The record cannot separate these cases, so the question of who authorized the action is left to inference.
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A personal token carries whatever scope it was issued with, which is often broader than any one task needs. Handing it to an agent gives the agent that whole scope. Broad permissions amplify the damage from any mistake, whether the agent misreads an instruction or a tool is used in an unintended way.
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Your secret, wherever the agent carries it
Credentials leak through the channels an agent uses to do its work: a configuration file, a markdown note, a prompt, a tool output, or a plain-text log. If the design lets the secret travel through any of these, it can be exposed even when the agent behaves correctly. OWASP’s AI Agent Security Cheat Sheet specifically advises against logging credentials or personal data in plain text.
Anyone holding the token is treated as you
Static API keys and bearer tokens can be copied and replayed by whoever obtains them. A bearer token does not prove that the caller is the intended agent. A token copied from one machine and used on another looks the same to the service as a legitimate call, and it stays usable until someone revokes it.
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Build the safer design
- Give the agent its own identifiable identity. Create a distinct agent or workload identity with its own identifier and entitlements, rather than reusing a person’s login. NIST’s article argues that “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.” The binding is what keeps each action traceable to a responsible person or system.
- Scope permissions to the task. Write down the tools the agent may call, the resources it may reach, and the operations it may perform. OWASP’s guidance is direct: “Apply least privilege to all agent tools and permissions.”
- Limit audience and lifetime. Prefer dynamic credentials that are tightly scoped and restricted to an intended audience. NIST points to established approaches, including OAuth 2.0 and SPIFFE. Where the platform allows, use short-lived tokens so that a leaked credential expires on its own.
- Keep the secret out of the model. Hold the credential in an execution component or secret store, and let the agent request only the operation it needs. Some platforms run agent-triggered work in isolated downstream jobs where secrets are supplied at the point of use. That is a platform-specific design, not a universal guarantee, so confirm how your provider handles it.
- Gate sensitive actions. Separate the agent’s proposal from its execution. Check each proposed action against its scope, privilege level, and approval state before it runs. OWASP recommends explicit authorization for sensitive operations.
- Log the actor, action, authority, and outcome. Record the agent as distinct from the human, the operation performed, the authorization it relied on, and the result. Protect these logs from unauthorized change and access. The fields to capture are covered below.
- Plan revocation and rotation. Make sure every agent credential can be revoked when its workflow ends or when exposure is suspected, and rotate it on a schedule the platform supports. NIST treats issuance, update, revocation, and token management as core concerns of agent identity.
Shared credential versus agent identity
The table compares the two patterns on the questions that determine what an auditor or an attacker can see and do.
| Question | Agent uses your credential | Agent has its own scoped identity |
|---|---|---|
| Whose identity does the service see? | Your account. The agent may not appear in the record. | The agent’s identifier, bound to the person or system operating it. |
| Which permissions apply? | The full scope of your credential. | Only the tools, resources, and operations granted for the task. |
| How long does access last, and can it be revoked? | Static keys and bearer tokens remain usable by anyone who holds them until revoked. | Short-lived and audience-restricted where the platform supports it, and revocable per agent. |
| Can you prove who delegated the action? | Not from the credential alone. | Recorded per action where the platform writes agent-specific audit fields. |
| Can the model or its logs read the secret? | Yes, if the secret sits in the agent’s environment, prompt, or tool output. | No, if the secret stays in an execution component the model cannot read. |
Example: a coding agent working in repositories
Suppose a coding agent edits repositories using a developer’s personal access token. The audit trail may show the changes under that developer’s credential, so a reviewer cannot tell whether the developer or the agent made them. Moving the agent to its own identity changes three things:
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- Its changes are attributed to an agent identity that is linked to the developer who set it up.
- Its permissions cover only the repositories and operations the task needs, not every repository the developer can reach.
- Each action can carry the agent indicator and the authorization it relied on, so the trail shows both who acted and under whose authority.
The exact controls depend on the platform. The next section shows what one provider records.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Audit records that name the agent without storing the secret
GitHub’s documentation on audit log events for agents describes an actor_is_agent field and separate request and response record types for agent activity. Its guidance on reviewing credentials in an enterprise describes correlating credential identifiers with audit activity without needing the original token value. Field names and availability can change, so check the current reference before you build alerts on them.
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A useful agent audit record includes:
- The agent identifier and the person or system that operates it.
- The operation performed, the target resource, and the time it happened.
- The authorization or grant the action relied on, referenced by identifier.
- The outcome, including denials and approvals.
- A credential identifier, so related activity can be found later.
It should never contain the token, password, or key value itself, or personal data written in plain text.
Quick Recap
What is not yet established
- Agent identity standards and platform implementations are still evolving. NIST describes consumer-facing agent authenticators bound to user identities as early-stage, so do not assume that a FIDO security key authenticates agents.
- A FIDO2 security key can strengthen a person’s own sign-in where the service supports it. It does not create an agent identity, limit what the agent may do, or record delegation.
- GitHub’s pages describe one provider. They do not show that every provider logs the same fields or offers the same credential controls.
- OWASP’s cheat sheet describes controls to adopt. It does not show that any particular product implements them.
- None of the cited pages showed a publication date, so confirm current wording on the live pages before quoting them.
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