Descope and WorkOS are both established developer-focused identity platforms: Descope built around passwordless and no-code customer identity and access management, WorkOS built around shipping enterprise-readiness features — SSO, SCIM directory sync, audit logs, admin portals — quickly for B2B SaaS applications. Both have publicly begun extending their identity products to address AI agents as a new class of principal, following a broader industry pattern of established identity vendors adding agent-specific capabilities to platforms originally built for human and application identity.
Teams researching alternatives in this space are usually asking one of two related questions: which identity platform should issue and manage credentials for their AI agents, or — a step further — which platform can also continuously authorize and audit what those agents do once they hold those credentials. The two questions matter because "issuing an identity" and "governing what happens with it" are related but separable capabilities.
What developer identity platforms are built for
Per their public materials, Descope's core strength is authentication infrastructure: passwordless login flows, no-code authentication journey building, and the breadth of protocol and provider support that comes from years of solving customer-identity problems for application teams that don't want to build authentication themselves. WorkOS's core strength is enterprise-readiness infrastructure specifically: SSO and SCIM integrations that let a B2B SaaS company satisfy enterprise procurement requirements quickly, packaged as APIs rather than a project an application team has to build from protocol specifications.
Both categories solve a real and durable problem — human and application identity, done well, is genuinely hard, and the protocol surface (OIDC, SAML, SCIM) is large enough that reusing a mature platform is usually the right call rather than building it in-house. That maturity is exactly why extending toward agent identity is a logical move for both companies: much of the underlying infrastructure — issuing credentials, verifying them, managing their lifecycle — is conceptually related whether the principal is a human, an application, or an agent.
Where human/application identity and agent identity diverge
Human and application identity answers "who logged in" or "which application holds this credential" — a question that is typically resolved once, at authentication time, and remains valid until the session or credential expires. Agent identity introduces a harder, ongoing version of the same question: which specific autonomous agent instance is taking this specific action right now, is that action within the scope that agent was granted, and does the answer need to be re-evaluated continuously as the agent takes a sequence of actions rather than checked once at login. Machine identity vs. workload identity vs. agent identity covers why these are genuinely different problems, not the same problem at a different scale, and continuous authorization covers why a single check at credential-issuance time isn't the same guarantee as ongoing evaluation.
This distinction matters directly when evaluating any identity platform's agent-identity extension: issuing a credential to an agent is a necessary first step, but it answers a narrower question than "is this agent's use of that credential, right now, on this specific action, authorized." A platform strong on the first can be a reasonable foundation without yet fully answering the second — that is a fair, direct question to put to any vendor rather than assume from an "agentic identity" feature announcement. How to give an agent an identity and AI agent identity: why agents need credentials cover what a complete answer to that question needs to include.
Evaluation lenses for this category
- Credential issuance vs. continuous authorization. Does the platform issue an agent its own credential, and separately, does it evaluate every subsequent action against policy, or only at issuance?
- Session and delegation modeling. Can the platform represent an agent delegating a scoped sub-task to another agent, with its own bounded credential, or does delegation collapse back to the parent's identity? Sub-agent delegation and scoped tokens covers what that pattern requires.
- Revocation speed. If an agent needs to be shut down immediately, how quickly does credential revocation actually stop further action, versus how quickly it's merely marked invalid in a database?
- Audit depth. Does the platform produce an attribution record specific enough to answer "which agent, which action, which data" after an incident, or a login-style audit log designed for human session review?
- Existing footprint. As with any identity platform decision, the strongest case is extending a system you already use for human and application identity, provided its agent-specific depth actually meets your requirement.
Comparing approaches
| Question you're asking | Category to evaluate | What it verifies |
|---|---|---|
| "Do our agents each have their own credential, distinct from a shared service account?" | Agent identity issuance | Existence of a distinct, attributable credential per agent |
| "Is this agent's specific action, right now, within its authorized scope?" | Continuous authorization | Real-time, per-action policy evaluation |
| "Can an agent delegate a scoped sub-task safely to another agent?" | Delegation and scoped tokens | Bounded, revocable authority passed between agents |
| "Can we prove what a specific agent did, after the fact, tamper-evidently?" | Audit and identity layer | Attribution and cryptographically verifiable evidence |
When a different category is the right answer
If your question is "we need to issue our AI agents proper credentials instead of sharing a service account, using an identity platform we can trust and that integrates with our existing SSO and directory setup," Descope and WorkOS's public extensions into agentic identity are worth evaluating directly, especially if either platform already anchors your human or application identity. If your question is "we need every agent action continuously authorized against policy, delegation scoped and revocable, and audit evidence that holds up independently of who has database access," that is a fuller agent-governance requirement, and it's worth confirming explicitly how far any identity platform's agent extension goes before assuming it covers the whole surface. Praesidia is one option in that runtime layer, covering agent identity, connection-level policy enforcement, and audit evidence for agent actions, and organizations frequently pair it with an existing identity platform that continues handling human and application authentication. Our identity and access for AI guide covers how these pieces typically fit together in a complete program.
What good looks like
- Every agent has its own credential, distinct from any human's or application's, traceable to a specific agent instance.
- Authorization is evaluated continuously, per action, not only checked once when the credential was issued.
- Delegation between agents uses scoped, time-bounded tokens, not a broadened copy of the parent agent's full authority.
- Revocation is immediate and verified — tested by actually revoking a live agent's credential and confirming further action stops, not assumed from documentation.
- Audit records tie a specific action to a specific agent identity in a form that survives scrutiny from an external auditor or regulator, not just an internal login-style log.
Common questions
What are Descope and WorkOS known for? Per their public positioning: Descope for passwordless and no-code customer identity and access management; WorkOS for fast-to-integrate enterprise-readiness features (SSO, SCIM, audit logs) for B2B SaaS applications. Both have publicly extended their platforms toward AI agent identity.
Is issuing an agent a credential the same as governing that agent? Not by itself. Credential issuance establishes that an agent has its own distinct identity rather than sharing one with a human or another system. Governing the agent additionally requires continuously authorizing its actions against policy and producing auditable evidence of what it did — capabilities that go beyond issuance alone.
Should we extend our existing identity platform to agents, or adopt a separate agent-governance layer? Often both, sequenced by requirement: extending an existing identity platform is a reasonable way to give agents their own credentials, especially if that platform already anchors your human and application identity. A separate governance layer becomes necessary once the requirement includes continuous per-action authorization, scoped delegation between agents, and tamper-evident audit — capabilities worth confirming directly rather than assuming any single "agentic identity" feature already covers.
What's the fastest way to test whether an identity platform's agent support is issuance-only or goes further? Revoke a live agent credential mid-task and measure how quickly further action actually stops, then ask for an audit record of a specific agent's actions over a defined window and check whether it names the individual actions and their authorization basis, or only shows that the agent authenticated at some point.