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Before buying an identity platform for AI agents, verify that it gives each agent a distinct, accountable identity; issues and revokes credentials safely; enforces narrowly scoped permissions outside the agent’s own runtime; preserves who authorized each action; and records evidence you can use in an investigation. Ask vendors to demonstrate those controls—including what happens during a prompt-injection attempt—and separate what works now from what is still a roadmap item.

What should an AI agent identity platform actually establish?

A platform should let your organization answer four questions for every consequential action: which agent acted, what authority it had, whose authority it was exercising, and what it did. An agent should be a distinct, accountable entity, with its own identifier, credentials, and entitlements bound to the user or system operating it.

NIST Cybersecurity Insights described agents as first-class entities in an August 27, 2026 post. That framing is useful for procurement: an agent is not adequately identified just because a person signed in before launching it, or because it possesses an API key. If multiple agents use a human’s shared credentials, attribution becomes ambiguous and impersonation is easier.

Evaluate identity, authentication, authorization, delegation, and audit as related but separate capabilities. A successful login or token check does not establish that an agent should be allowed to perform a particular action.

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How should you evaluate a platform?

Use the following dimensions in a vendor demonstration, proof of concept, or procurement review. Require evidence for each one rather than accepting a feature name or roadmap statement.

Evaluation area Questions to ask Evidence to request
Agent identity and ownership Can each deployed agent—and, where relevant, each runtime instance—be identified separately? Can its identity be tied to a responsible service, owner, user, or system? Can identities be inventoried and removed when agents are retired? Show the identity record, its owner or operating principal, how it appears in policy and logs, and the retirement or deprovisioning workflow.
Credential lifecycle How are credentials issued, stored, verified, rotated, expired, and revoked? Can credentials be kept out of source files, configuration, prompts, and logs? Does the design avoid long-lived bearer tokens and static API keys as proof of agent identity? Demonstrate issuance through revocation, including what happens to an in-flight or subsequent request after revocation. Show how the platform protects secrets and verifies cryptographic credentials.
Authorization and enforcement Can rights be limited to specific tools, APIs, data, and actions? Are there explicit allow-lists and default-deny behavior? Is the policy decision point isolated from the agent’s runtime and model output? Can permissions change with task context or risk? Show a permitted request and a denied request for the same agent, then show the policy and enforcement point that caused each result. Test whether a tool or model response can alter that policy.
Delegation and attribution Can the platform preserve who authorized an action, what the agent was allowed to do, and the delegation chain? Can a delegated grant be withdrawn without invalidating unrelated identities or access? Trace an action from the agent through its authorizing user or system to the target resource. Demonstrate revoking one grant and verify the effect on unrelated identities.
Audit and investigation Can logs identify the agent, its authority, the principal on whose behalf it acted, and the resource it accessed? Can investigators review and dispute high-impact actions using trustworthy records? Provide a representative event record and demonstrate how an investigator reconstructs the action and its authorization context. Ask what controls protect the records from alteration.
Prompt-injection impact controls What happens when malicious instructions arrive through user input, retrieved content, or a connected tool? Do authorization controls still prevent actions outside the agent’s grants, and does the event leave useful evidence? Run a controlled demonstration using a prohibited action. Observe whether independent policy enforcement blocks it and whether logs preserve the relevant decision and context.
Interoperability and maturity How does the platform fit your OAuth, workload identity, and IAM environment? Which protocols and integrations are implemented and interoperable now, and which are drafts, planned work, or vendor-specific? Request current technical documentation and a working integration against your environment. Require the vendor to label each claimed capability by implementation status.

What does strong agent identity and credential handling look like?

Give each agent its own identity

Ask whether the platform can distinguish agents that serve different tasks, services, or owners, rather than recording all activity under a shared human or application account. The identity should be linked to the responsible user or system without collapsing the agent into that principal. Check that identity inventory includes a retirement path; orphaned agents should not remain enabled merely because their original deployment has ended.

Test the full credential lifecycle

Do not treat possession of a long-lived bearer token or static API key as proof of an agent’s identity. NIST’s August 27, 2026 guidance warns that possession of such credentials does not itself prove identity, and broadly scoped secrets can expose more access if stolen. Ask vendors to demonstrate how credentials are issued, stored, cryptographically verified, rotated, expired, and revoked. Check whether a secret can leak through prompts, configuration, source files, or logs.

OWASP’s AI Security Verification Standard (AISVS) 1.0 gives a concrete criterion for federated or multi-system deployments: verify that agents authenticate using short-lived, minimally scoped, cryptographically signed tokens. Treat that as a verification target, not merely a claim that a product “supports tokens.”

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How can you tell whether agent permissions are genuinely limited?

Authentication asks whether a credential or entity is recognized. Authorization decides whether a particular action is allowed. Require a separate demonstration of both. A platform should be able to restrict an agent to the tools, APIs, data, and actions needed for its task, deny anything not explicitly permitted, and enforce those decisions outside the agent’s execution environment.

  • Test specific boundaries: attempt access to an unapproved tool, resource, or action, not just a successful authorized task.
  • Inspect the policy path: identify where the decision is made and confirm that the agent’s model output cannot grant itself additional rights.
  • Check for context-sensitive changes: ask how access changes when the task, risk level, or delegated authority changes.
  • Ask about higher-risk operations: OWASP AISVS 1.0 includes verification ideas such as step-up authentication, just-in-time privileged access, default-deny controls, and isolated authorization policy decision points.

OWASP also identifies authorization-context enforcement through AI retrieval pipelines. Ask how the platform keeps data-access decisions attached to retrieved material, rather than assuming that an agent’s access to a search or retrieval tool automatically makes every returned item appropriate to disclose or use.

How should user-to-agent delegation work?

In an “on behalf of” workflow, the audit trail should not lose either side of the relationship. It should show which agent made the request, which user or system authorized it, what grant applied, and what resource or action was involved. A log that records only the human or only the agent leaves an accountability gap.

Ask the vendor to trace a real delegated action end to end, then withdraw that grant. Confirm that the revocation stops the delegated authority without unnecessarily disabling unrelated agent identities. NIST’s February 5, 2026 concept paper identifies delegation and non-repudiation among the questions organizations need to address; these are design and implementation concerns, not capabilities to assume from a generic identity label.

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Can identity controls contain prompt-injection damage?

Identity controls do not guarantee safe model behavior or prevent every prompt-injection attack. Their procurement value is that independent authorization controls can restrict what an agent is able to do even if malicious instructions influence its behavior.

Ask the vendor to demonstrate what happens when an instruction to perform a prohibited action comes from each of three places: user input, retrieved content, and a connected tool. For each scenario, check whether policy still denies actions outside the agent’s grant and whether the audit record captures enough context to investigate the attempt. NIST’s concept paper treats prompt-injection prevention and impact mitigation as active work areas, while OWASP AISVS provides implementable authorization checks that can help limit impact.

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Which standards and protocols are relevant—and how mature are they?

Standards and implementation work for agent identity are evolving. NIST’s February 5, 2026 software and AI agent identity concept paper raised questions about identification, authentication, authorization, delegation, auditing, non-repudiation, and prompt injection. Its comment period ran through April 2, 2026, and the project page described feedback and resource releases on a rolling basis. Do not treat the concept paper as a settled procurement checklist.

In an August 27, 2026 post, NIST named SPIFFE and OAuth 2.0 as existing mechanisms that can address many enterprise agent identity and authorization use cases, while describing WIMSE and the Identity Assertion JWT Authorization Grant as emerging standards work. Ask vendors what they implement and interoperate with today, and what remains draft, planned, or specific to their product. NIST also notes that consumer-facing agent identity is more challenging, particularly where human credentials are shared.

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NIST SP 800-63B-4, published in July 2025, addresses authentication of human subjects using government information systems and supersedes the 2020 edition. It can inform human-authentication requirements around an agent workflow, but it is not a complete framework for agent identity.

NISTIR 8587, published September 15, 2026, addresses token and assertion protections for federal agencies and cloud service providers. It covers controls involving identity providers, authorization servers, key management, token verification, and lifecycle management for single sign-on, federation, and API access. Its intended audience matters: buyers outside those settings can use it as a reference, but should not present it as a universal agent-platform certification or procurement standard.

How should you compare vendors without relying on feature claims?

Score each candidate against the same demonstrations and evidence. The key comparison is not the length of a feature list; it is whether the product can show identity separation, credential lifecycle controls, independent authorization enforcement, delegation context, useful audit records, integration with your environment, and the maturity of each capability. Request documentation and contractual commitments for controls that are material to your deployment.

  • Ask the vendor to show a working flow in your OAuth, workload identity, or IAM environment, not just a roadmap slide.
  • Have the vendor demonstrate success, denial, delegation withdrawal, credential revocation, and investigation using one representative agent workflow.
  • Record which controls are available in the product now, which require configuration or another product, and which are planned or based on emerging standards.
  • Validate feature, integration, and lifecycle claims in demonstrations, technical documentation, and contract terms before making a purchase decision.

Human authentication remains relevant when people authorize or administer agents. NIST SP 800-63B-4 is specifically scoped to human subjects in government information systems, so use it for that part of the design rather than treating human sign-in as a substitute for agent identity.

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