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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Choose an identity and access management (IAM) platform for AI agents by testing whether it can give each agent a distinct identity, limit what that identity can do, preserve who authorized its access, and support the agent throughout its lifecycle. Start with your real workflows: an agent acting for a signed-in user needs a different access model from an autonomous agent acting under its own identity. There is no evidence here for a market-wide “best” platform, so compare candidates against your architecture and prove the controls in a pilot.
Why do AI agents need their own identity controls?
Agents may access data, tools, and applications and take actions with limited supervision. If an agent uses a person’s credentials, it can become difficult to establish which actions the person took and which the agent performed. NIST also cautions that long-lived API keys and bearer tokens can be used by anyone who obtains them and may grant overly broad access.
For platform selection, identity is only part of the problem. The platform must also govern the authority an agent exercises, connect actions to the person or system that authorized them, and leave evidence that can support review or incident investigation. NIST’s National Cybersecurity Center of Excellence (NCCoE) is developing work around these issues; its planned practice guide is not a completed neutral vendor comparison.
Which identity pattern does your agent use?
Classify each workflow before evaluating products. Microsoft’s documentation illustrates two patterns; these are examples from a vendor, not a universal standard or independent product evaluation.
#1 Best Overall
| Pattern | Identity and authority | What to verify |
|---|---|---|
| Interactive agent | Acts for a signed-in user using delegated permissions. | Can the agent receive only the user-authorized access needed for the task, without receiving reusable user credentials? |
| Autonomous agent | Authenticates under its own agent identity. Microsoft documents a client-credentials flow for this pattern. | Can permissions be assigned to the agent itself, constrained to its tasks, reviewed, and withdrawn independently? |
A single organization may have both patterns. Assess each use case separately rather than assuming one policy or credential model fits every agent.
What should you evaluate in an IAM platform?
Agent inventory and lifecycle
Check whether administrators can discover or register agents, give them distinct names and owners, distinguish them from people and ordinary application workloads, review their permissions, and retire them cleanly. Include stale and ownerless identities in the evaluation. Microsoft describes uncontrolled growth without adequate visibility, management, or lifecycle controls as “agent sprawl”; test whether the platform helps your team detect and manage it.
Workload identity and credential handling
Determine how the agent runtime proves its identity to the services it calls. Match support for workload identity, federation, and short-lived credentials to your cloud, runtime, and operational model. NIST identifies OAuth 2.0 and SPIFFE among relevant foundations and describes WIMSE work as building on existing protocols. The NCCoE’s concept paper also discusses OIDC and SPIFFE/SPIRE. These options are not interchangeable promises of turnkey support: verify the implementation and operational maturity relevant to your environment.
Ask vendors to demonstrate how runtime credentials are issued, protected, expired or rotated, and revoked. Do not treat a static API key as equivalent to workload identity; exposure in configuration files, markdown files, or logs can put its authority in anyone’s hands.
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Delegation and authorization
For user-directed work, assess whether delegated access is limited to the user’s task. For autonomous work, assess how policies attach to the agent identity. In either case, test whether authorization can be bounded by resource, action, context, and task, and whether access can be reviewed and withdrawn. NIST cautions both against overly broad access and against relying too heavily on human approval; determine which actions need approval and which should be prevented by policy.
Accountability, audit, and investigation
Establish whether records identify the agent responsible for an action and retain its link to the person or system that authorized access. Inspect what administrators can see about tool calls, data access, policy decisions, and denied actions, and whether records can be exported to your monitoring and audit systems. NCCoE identifies logging and transparency as areas of interest and says agent actions should be linked to the nonhuman entity.
Rank #4
Integration and interoperability
Map the agents’ actual connections: identity provider, cloud and runtime, APIs, SaaS applications, orchestration layer, and tool interfaces. MCP can help agents discover and interact with tools and data, but it is not a complete IAM solution. The NCCoE concept paper says MCP relies on existing identity standards such as OAuth and OIDC for authentication and rights delegation.
NCCoE materials discuss SPIFFE/SPIRE, OAuth, WIMSE, policy engines, delegation, and agent-to-agent interoperability. Standards and proposals differ in maturity. Confirm which pieces a vendor has implemented and test interoperability in your target architecture; do not assume an emerging draft is production-ready or universally supported.
Governance and operating fit
Compare administrative ownership, approval paths, lifecycle workflows, incident response, reporting, and policy maintenance. Determine whether the platform fits existing identity operations or introduces a separate control plane your team must operate. The available NIST, NCCoE, and vendor materials establish governance needs but do not provide a neutral comparison of operating costs or product-specific rollout effort.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you run a proof of concept?
Use a representative interactive workflow and an autonomous workflow if both are in scope. Keep the test tied to the systems and policies your agents will actually use.
- Define the task and boundary. Specify the user or system authorizing the work, the agent’s owner, the resources and actions required, and actions that must remain out of scope.
- Configure the identity path. Set up the agent identity and the relevant delegated or autonomous access pattern. Observe how the runtime obtains credentials and how those credentials are protected and expired.
- Exercise allowed and denied actions. Run the intended task, then attempt an out-of-scope action. Confirm that policy—not an informal promise or operator memory—limits what the agent can do.
- Withdraw access. Revoke the relevant grant or identity and verify that the agent can no longer perform the protected action. Check whether the change is visible to administrators.
- Reconstruct the activity. Have an investigator trace authorization to agent identity and downstream action using the records available to your existing monitoring and audit systems.
- Review lifecycle and integration. Check whether an administrator can find the agent and owner, inspect its effective access, identify stale or excessive permissions, and retire it using the organization’s intended workflow.
Record the observed result for each step, including gaps and manual workarounds. These are buyer evaluation tests derived from NIST and NCCoE concerns, not a NIST certification checklist.
How should you compare platform options?
At minimum, compare your existing enterprise IAM control plane with any specialist agent-identity or authorization offering you are considering. Apply the same workflow and proof-of-concept criteria to each; the available sources do not establish that either category is always the better fit.
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| Comparison axis | Evidence to seek |
|---|---|
| Agent identity and lifecycle | Distinct principals, ownership, inventory, access review, and retirement. |
| Delegated and autonomous access | Support for the patterns your workflows require, with authority bound to the appropriate user or agent. |
| Authentication and credentials | Runtime identity, credential protection, expiry or rotation, and revocation in your environment. |
| Policy and revocation | Controls that constrain relevant resources and actions, plus a practical way to withdraw access. |
| Attribution and audit | Records that connect authorization, agent identity, decisions, and downstream activity. |
| Interoperability and operations | Working integration with your identity, runtime, policy, logging, cloud, application, and tool systems—and a supportable operating model. |
Microsoft Entra is one commercial example whose documentation describes agent identities, interactive and autonomous patterns, and workload identity capabilities. Evaluate it against the same requirements as other candidates. The cited material does not establish independent testing, comparative superiority, pricing, or region-specific availability.
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