IA-13(3): Token Management

IA-13(3) requires you to manage identity assertions and access tokens according to a defined policy: how they’re issued, protected, validated, rotated, revoked, and logged across your identity provider, apps, and APIs. To operationalize it fast, standardize token types and lifetimes, enforce signing/encryption and audience/issuer checks, centralize key/JWKS management, and retain evidence that controls run as designed. ¹

Key takeaways:

• Treat token handling as a lifecycle control: issuance → storage → transmission → validation → renewal → revocation → logging.
• Your “policy” must translate into enforceable technical settings in IdP, API gateway, and apps, plus exceptions with approvals.
• Evidence is as important as configuration: auditors will ask for runbooks, configs, logs, and periodic control health checks.

IA-13(3): Token Management sits in the Identification and Authentication family and focuses on how your environment handles identity assertions (for example, SAML assertions) and access tokens (for example, OAuth2/JWT). The control language is short, but the expectation is operational: you can show a clear, repeatable way you create, protect, validate, and retire tokens so they cannot be replayed, forged, misrouted to the wrong service, or used longer than intended.

For a CCO or GRC lead, the fastest path is to turn “in accordance with [policy]” into three concrete deliverables: (1) a token management standard that names required token properties and controls, (2) enforcement points mapped to systems (IdP, API gateway, service mesh, applications), and (3) an evidence bundle that proves enforcement is active and sustained.

This page gives requirement-level guidance you can hand to IAM, platform engineering, and application owners. It emphasizes what auditors and customer assessors typically probe: consistency, ownership, change control, and whether production systems actually reject bad tokens, not just whether a policy exists. ²

Regulatory text

Requirement excerpt: “In accordance with [policy], assertions and access tokens are:” ¹

Operator interpretation of the excerpt: your organization must define a policy for managing assertions and access tokens, then implement technical and procedural controls that follow that policy. The excerpt is intentionally open-ended because your token rules should match your architecture and risk, but you still need a provable, testable set of requirements (for example: required token type, signing algorithms, validation rules, lifetimes, revocation behavior, and logging). ¹

Plain-English interpretation (what this means in practice)

You must:

• Control how tokens are issued (who can mint them, under what authentication strength, and for what scopes/claims).
• Protect tokens at rest and in transit (so theft in logs, browsers, mobile storage, or service-to-service calls doesn’t become access).
• Ensure every relying service validates tokens correctly (issuer, audience, signature, expiry, nonce/jti, and relevant claims).
• Define expiration/renewal behavior and prevent long-lived access without re-checking risk.
• Support revocation and key rotation so you can quickly invalidate tokens or signing keys after compromise.
• Produce auditability: you can trace token issuance and usage, detect anomalies, and show evidence on demand.

Who it applies to

Entities

• Federal information systems and contractor systems handling federal data that adopt NIST SP 800-53 as a control baseline ²

Operational contexts (where you will feel this control)

• Central IAM and SSO (IdP) issuing SAML/OIDC tokens.
• API ecosystems using OAuth2 access tokens and JWTs.
• Microservices (service-to-service auth) where tokens can be minted by an internal STS or gateway.
• Third parties integrating via federated identity or API tokens (B2B integrations).
• Privileged access workflows that issue short-lived session tokens.

If you have multiple token issuers (multiple IdPs, separate auth stacks per product), expect assessors to push for standardization or a clear boundary and exception model.

What you actually need to do (step-by-step)

Step 1: Write a token management standard that engineers can implement

Make the “policy” enforceable. Keep it short and specific. Include:

• Token types in scope: SAML assertions, OIDC ID tokens, OAuth2 access tokens, refresh tokens, service account tokens.
• Approved issuers: which systems may mint tokens; prohibit “app-minted JWTs” unless explicitly approved.
• Required token properties: issuer (iss), audience (aud), subject (sub), expiry (exp), issued-at (iat), token ID (jti) where used.
• Cryptography requirements: signed tokens; encryption rules for sensitive tokens/claims; approved algorithms.
• Lifetime rules: access token and assertion lifetimes; refresh token constraints; max session duration.
• Validation rules: signature verification, issuer/audience checks, expiry skew, nonce handling (where applicable).
• Revocation expectations: how you revoke refresh tokens, sessions, and signing keys; how fast relying services must pick up changes.
• Logging and monitoring: what events must be logged (issuance, refresh, revocation, validation failures), and where logs are retained.
• Exception process: how teams request deviations, required compensating controls, approval authority, and expiry of exceptions.

Deliverable: a one-page standard plus a technical appendix per platform (IdP, gateway, mobile, SPA, backend).

Step 2: Map enforcement points (where the rules are enforced)

Create a simple system map:

• Issuer: IdP/STS (Okta/Azure AD/ADFS/custom).
• Distribution: browser/app, mobile, backend.
• Relying parties: APIs, web apps, internal services.
• Control planes: API gateway/service mesh that can validate tokens centrally.
• Key distribution: JWKS endpoint, HSM/KMS, secrets manager.

Then assign owners:

• IAM owns issuer configuration and key management.
• Platform/API team owns gateway validation and standard libraries.
• App owners own correct token handling in code.

A practical way to keep this from stalling is a “requirement control card” that states objective, owner, trigger events, execution steps, and exception rules. This is also strong audit evidence. ¹

Step 3: Implement baseline technical controls

Use this as your minimum build list:

Issuer-side

• Configure token signing keys with managed rotation.
• Limit who can create clients/apps that receive tokens.
• Enforce scopes/claims minimization (only what the app needs).
• Configure lifetimes consistent with your standard.
• Require stronger auth for higher-risk token issuance (admin consoles, sensitive apps).

Relying party / API-side

• Enforce signature verification and reject unsigned tokens.
• Validate iss and aud strictly; block “accept any audience” patterns.
• Enforce expiry and reasonable clock skew.
• Enforce token type (don’t accept ID tokens as access tokens).
• For service-to-service, restrict tokens to narrow audiences and scopes.

Storage and transmission

• Prevent tokens from being written to application logs.
• Set secure cookie flags where cookies are used.
• For SPAs/mobile, implement secure storage patterns aligned to platform risk decisions, documented as part of the standard.

Step 4: Build revocation and key rotation procedures you can execute under pressure

Auditors focus on whether you can react to compromise. Define:

• How to revoke refresh tokens and sessions at the IdP.
• How to disable a client/app quickly.
• How to rotate signing keys and publish updated JWKS.
• How relying services cache JWKS and how quickly they refresh.

Operationalize with a runbook: “Token compromise response,” with clear roles and pre-approved actions.

Step 5: Test the control (prove tokens fail safely)

Create repeatable tests:

• Present a token with wrong audience → should be rejected.
• Present an expired token → rejected.
• Present a token signed by an unknown key → rejected.
• After revocation → rejected according to your revocation design.

Capture test evidence at least once per change cycle, and also as part of periodic control health checks. ¹

Step 6: Define the evidence bundle and retention location

Do this upfront. A “minimum evidence bundle” prevents scramble during audits and customer due diligence. ¹

Required evidence and artifacts to retain

Keep artifacts that prove design and operation:

Governance

• Token management policy/standard (approved version, owner, effective date).
• Exception register for token deviations (request, approval, compensating controls, expiry).

Configuration evidence

• IdP settings exports/screenshots: token lifetimes, signing algorithms, client creation restrictions.
• JWKS/key management configuration and rotation records (change tickets).
• API gateway/service mesh policies for JWT validation (config snippets, policy-as-code repos).

Operational evidence

• Runbooks: token compromise response, key rotation procedure, client disablement procedure.
• Sample logs: token issuance events, revocations, validation failures (redacted).
• Control health check records and remediation tickets to closure. ¹

Testing evidence

• Results from negative/positive token validation tests (CI logs, test cases, screenshots).
• Evidence that relying services refresh keys as required (configuration + test).

Common exam/audit questions and hangups

• “Show me your token policy. Where is it enforced in production?” Expect a request to trace policy statements to IdP and gateway settings. ²
• “How do you prevent token leakage into logs and analytics?” Auditors may sample application logs.
• “How do you revoke tokens after employee termination or compromise?” They will want the procedure and proof it works.
• “Do all APIs validate issuer/audience consistently?” Inconsistent validation across teams is a common finding.
• “How do you manage keys and JWKS caching?” Weak rotation or uncontrolled caching creates long exposure windows.

Frequent implementation mistakes (and how to avoid them)

1. Policy-only compliance. A document with no enforcement mapping fails quickly in assessments. Fix: maintain a system-to-control matrix and link to configs and code repos.
2. Accepting tokens without strict aud checks. This enables token replay across services. Fix: make audience mandatory per API; block wildcards.
3. Long-lived tokens without compensating controls. Convenience becomes standing access. Fix: shorten lifetimes where possible; use refresh tokens with rotation and revocation capability consistent with your policy.
4. Decentralized JWT libraries and drift. Teams implement validation differently. Fix: publish an internal validation library or enforce at the gateway.
5. No evidence discipline. Teams “have it configured” but can’t prove it. Fix: define the evidence bundle and run periodic health checks with tracked remediation. ¹

Enforcement context and risk implications

No public enforcement cases were provided in the source catalog for IA-13(3). What assessors still treat as high-risk outcomes include unauthorized access from stolen tokens, replay attacks, and broken API authorization due to weak validation. The operational risk is amplified in distributed systems where many services accept tokens and key rotation or validation consistency becomes fragile. ²

Practical execution plan (30/60/90-day)

Because the source pack does not provide time-based regulatory requirements, treat this as an execution sequencing guide, not a mandated timeline.

First 30 days: Stabilize the minimum standard and ownership

• Assign an accountable owner (IAM or platform security) and name system owners for IdP, gateway, and top applications.
• Publish the token management standard (policy-level plus technical appendix).
• Build your inventory: issuers, relying parties, token types, key distribution method.
• Define the evidence bundle and set a retention location (GRC repository + config/code links). ¹

By 60 days: Enforce the basics where risk is highest

• Turn on strict validation at the API gateway for priority APIs (issuer, audience, expiry, signature).
• Standardize issuer configuration: signing algorithms, key management approach, token lifetimes.
• Implement logging requirements and confirm tokens are not logged.
• Create revocation and key rotation runbooks; do a tabletop exercise and capture outputs.

By 90 days: Prove sustained operation

• Expand enforcement coverage across remaining APIs/services.
• Add automated tests in CI for token validation behaviors.
• Run a control health check, log findings, and track remediation to closure with due dates. ¹
• Operationalize exceptions: require expiry dates and periodic review.

Where Daydream fits (without adding tooling risk)

If you struggle to keep policy, ownership, execution steps, and evidence in sync, Daydream can act as the control system of record: a control card for IA-13(3), an evidence checklist per cycle, and a remediation tracker that ties findings to validated closure. That directly addresses a common audit failure mode: teams cannot show who owns the requirement, how often it runs, or which evidence proves it is operating. ¹

Frequently Asked Questions

Does IA-13(3) apply if we only use SSO and don’t run our own OAuth server?

Yes if your system relies on assertions or tokens from an IdP. Your obligations shift toward strict validation, safe storage, revocation behavior, and proving configurations match your policy. ¹

What’s the minimum set of token validation checks auditors expect to see?

Expect signature verification, issuer validation, audience validation, and expiry enforcement to be non-negotiable for access tokens and assertions. Document your required checks in the standard, then show gateway/app configuration that enforces them. ²

How do we handle exceptions for legacy apps that can’t validate tokens properly?

Put them on a time-bound exception with compensating controls (for example, gateway-enforced validation, network segmentation, reduced scope, tighter lifetimes). Track the exception to closure like any remediation item and retain approvals. ¹

Do we need token revocation if our tokens are short-lived?

You still need a documented position in policy. Many teams rely on short lifetimes for access tokens and use revocation for refresh tokens and sessions; the key is that your approach is explicit, testable, and evidenced. ¹

What evidence is most persuasive in an audit?

Configuration exports/policy-as-code for IdP and gateway, a runbook for key rotation and compromise response, and logs or test results showing invalid tokens are rejected. Pair that with a control card and periodic health check records. ¹

We have multiple issuers across business units. Is that automatically noncompliant?

Not automatically, but it raises consistency and key management risk. Auditors will look for a unifying standard, clear ownership boundaries, and proof that each issuer and relying service meets the same validation and logging requirements. ²

Footnotes

1. NIST SP 800-53 Rev. 5 OSCAL JSON

2. NIST SP 800-53 Rev. 5