Choose an identity provider by how well it matches the way your agents actually run. An agent that only acts within a signed-in user’s session may use delegated user access; an agent that persists, runs unattended, or initiates work independently should have a distinct workload identity. In either case, look for narrowly scoped, short-lived credentials, controlled delegation, lifecycle governance, useful audit trails, and compatibility with your runtime and target services. There is no evidence-based universal provider winner.
Should an AI agent have its own identity?
Decide this before comparing products. The relevant question is whether the agent’s access should end with a user’s session or whether the agent must be independently identifiable and governed.
User-bound, interactive agents
If an agent acts only while a user is signed in, uses that user’s permissions, and stops when the session ends, delegated user context may be appropriate. This keeps authorization tied to the person who initiated the work rather than giving the agent a separate, broader identity.
Autonomous or persistent agents
If an agent works unattended, continues beyond a user session, initiates workflows, or needs permissions that do not map directly to one user, give it a distinct agent or workload identity. Avoid hiding multiple agents behind one shared service account: that makes it harder to constrain access or determine which agent acted.
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These models are not interchangeable. An agent can also need both: its own identity to identify the workload, plus delegated context when it performs a particular action for a user. The identity and authorization design should preserve both principals when that is the actual relationship.
What to require from an identity provider
Distinct identities and least privilege
Check that the provider can assign separate identities to the agents or workloads you need to distinguish, and that access can be limited by task, resource, scope, and audience. A credential intended for one tool or API should not automatically authorize unrelated resources. The CNCF discussion of cloud-native agentic standards and NIST’s August 2026 overview of agent identity both frame identity and credential design as foundational controls, not as a substitute for deciding what an agent is allowed to do.
Short-lived, workload-bound credentials
Prefer credentials provisioned for a runtime or task, with explicit expiry and a practical way to rotate or revoke them. Where your environment supports it, bind credentials to the workload or execution context rather than relying on a reusable secret stored with application code. Avoid broad static service-account credentials and long-lived API keys when a dynamic credential flow is available. NIST warns that stolen long-lived bearer tokens and API keys can be reused; it also discusses sender-constraining approaches such as DPoP in its 2026 article.
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Delegation that preserves accountability
When an agent acts on behalf of a person or another system, require a flow that does not hand the agent the delegating party’s raw credentials and that retains the identity of both the agent and the principal in authorization decisions and logs. OAuth-based delegation and token exchange can support this pattern, but confirm the specific flows and claims the provider and target APIs actually support. A log that records only the user or only a shared agent account may not be enough to explain who initiated an action and which workload executed it.
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Confirm that operators can register and discover agent identities, assign accountable owners or sponsors, review access, suspend an identity, and decommission it when it is no longer needed. Check whether policy decisions and actions are logged in a way that links the agent, any delegated principal, the resources or tools accessed, and the resulting action. NIST’s agent identity project highlights identification, authorization, delegation, logging and transparency, and data-flow provenance as areas for the work.
Runtime context and integration
Map the identity flows across the agent runtime, tool servers, cloud environments, and resource APIs you actually use. Check required OAuth and OpenID Connect (OIDC) patterns, workload identity mechanisms such as SPIFFE/SPIRE where relevant, and federation or credential exchange for cross-domain access. If the use case warrants it, ask whether the runtime can provide trustworthy workload context or attestation and whether the provider can use it in authorization. A protocol listed in a product’s documentation is not proof that the exact flow works end to end with your services.
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Controls against misuse of valid access
Identity controls can limit what an agent is authorized to do; they cannot establish that its reasoning or a requested action is safe. Account for prompt injection and other ways an agent might be induced to misuse permissions it legitimately holds. Review how your wider system validates tool calls and sensitive actions instead of treating identity-provider selection as a complete agent-security solution. NIST’s Agentic AI Identity and Authorization project hub and its February 2026 concept paper frame agent identity as part of a broader authorization and accountability problem.
How to compare providers in your environment
Use the same representative workloads for every candidate. Ask each provider to demonstrate the actual identity, credential, authorization, and logging behavior—not just a feature name or protocol checklist.
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- Trace a complete access path. Follow an agent from runtime startup through authentication to a tool or API, then inspect which identity and delegated context the resource sees. Include any trust boundary between directories, clouds, or organizations.
- Test changes and failure cases. Demonstrate credential expiry, rotation, revocation, suspension, and what happens when a task ends or its owner leaves. Check how quickly access stops and what remains visible in the logs.
- Run contrasting scenarios. Test a user-delegated interactive task, an unattended task, a short-lived or dynamically spawned agent, cross-domain tool/API access, and incident response. These scenarios reveal whether one identity model can cover your needs without collapsing distinct agents or principals together.
- Score the same dimensions. Compare protocol fit, identity separation, authorization granularity, lifecycle governance, audit depth, workload context or attestation, and integration with your existing directory and cloud environment. Record unsupported flows and operational dependencies alongside successful demonstrations.
This comparison can support a defensible shortlist, but the available sources do not provide a balanced provider-by-provider feature matrix, price benchmark, or implementation-effort comparison. Do not infer relative cost, security performance, or deployment effort from a single product example.
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Which standards are ready to guide a decision?
Several established foundations are relevant now, including OAuth 2.0, OIDC, SPIFFE/SPIRE, JWT, and X.509 credentials. NIST’s August 2026 article discusses these foundations and sender-constraining approaches including DPoP. NIST’s February 2026 concept paper also discusses OAuth 2.0 and extensions, OIDC, MCP, SPIFFE/SPIRE, and SCIM as relevant standards or guidelines. These names cover different parts of identity and authorization; select the flows and profiles your runtime and services need rather than treating a standards list as proof of interoperability.
Agent-specific standards work is still evolving. The IETF AI Agent Authentication and Authorization document, version -03 from July 2026, is an Internet-Draft, not a final standard. It draws on existing work including WIMSE, SPIFFE, OAuth, and OpenID-related mechanisms, and discusses unique identifiers, credentials bound cryptographically to identity, explicit expiry, runtime provisioning, delegation, token exchange, and observability. Treat it as useful design input, not a procurement mandate; verify support for stable standards and the specific profiles your deployment requires.
The NIST NCCoE project hub describes an iterative project intended ultimately to produce an SP 1800-series practice guide. It reports more than 600 responses to the February 2026 concept paper; that count is not a market-adoption measure, security result, or vendor endorsement. The OpenID Foundation’s October 2025 white paper explains why multi-step, non-deterministic agents connected to changing external resources complicate consent, least privilege, governance, authorization, and audit.
Microsoft Entra Agent ID as one documented example
Microsoft’s documentation distinguishes interactive agents, which can use delegated permissions and the on-behalf-of flow, from autonomous agents, which use their own identity and the client-credentials flow. Its Microsoft Entra security for AI overview describes agent identity registration and management, authentication and action logs, Conditional Access, risk signals, governance, lifecycle management, and agent discovery.
Microsoft states that Entra Agent ID is generally available and documents agent blueprints, individual identities, access controls, and integration patterns for non-Microsoft agents. Its What’s new in Microsoft Entra Agent ID page was last updated May 1, 2026. These are Microsoft’s claims about its own service, not an independent comparison. Validate availability, licensing, regional support, integration behavior, and feature limits for your tenant and workload before procurement. The same execution-model and scenario tests should be applied to other identity-provider candidates.
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