The workflow may still function, but the security model becomes fragile. Unowned APIs, stale tokens, and unrotated service accounts can expose identity sources, undermine trust decisions, and make incident response slow. Treating these integrations as non-human identities brings lifecycle control and accountability back into scope.
Why This Matters for Security Teams
Verification APIs and tokens are often treated like plumbing, but once they can authenticate, authorise, or broker trust, they are identities in practice. If they are not governed as non-human identities, security teams lose ownership of the very objects that decide access. That creates blind spots in rotation, approval, revocation, and incident response, especially when tokens are copied into tickets, build logs, or automation scripts.
This is why the issue shows up as a trust problem, not just a secrets hygiene problem. NHI Management Group has repeatedly documented how exposed tokens and unmanaged service access expand blast radius, including in the Guide to the Secret Sprawl Challenge and Top 10 NHI Issues. NIST’s Cybersecurity Framework 2.0 reinforces the need to identify, protect, and govern assets that participate in access decisions.
In practice, many security teams encounter the breach after the integration was already trusted for months, rather than through intentional identity lifecycle control.
How It Works in Practice
When a verification API or token is governed as an NHI, the team assigns an owner, defines purpose, and ties the credential to a lifecycle. That means the integration is not just “stored securely”; it is registered, reviewed, rotated, scoped, and revoked like any other identity that can influence access. The practical goal is to prevent anonymous trust brokers from accumulating privileges outside normal IAM review.
A workable model usually includes short-lived secrets, explicit issuance, and runtime validation. For example, a verification service may use a narrowly scoped token to call a downstream system, but the token should be linked to the application, environment, and approver. NHI guidance also pushes teams toward deterministic inventory, because you cannot rotate what you cannot find. The issue is visible in real-world breach patterns such as the Salesloft OAuth token breach and JetBrains GitHub plugin token exposure, where token handling, not just code flaws, created the access path.
Operationally, security teams should align verification APIs with:
- named ownership and business purpose
- scoped permissions and least privilege
- time-bound tokens with automated rotation
- offboarding and revocation triggers
- logging that ties token use to workload and change record
Where possible, prefer workload identity and policy-based approval over static shared secrets. That gives responders a clear trail from token to system, and from system to decision, which is critical when access must be cut fast. These controls tend to break down in legacy environments with shared service accounts and hardcoded tokens because ownership and expiry are not represented anywhere the team can reliably enforce.
Common Variations and Edge Cases
Tighter identity governance often increases operational overhead, requiring organisations to balance faster delivery against stronger accountability. That tradeoff is real, especially in environments where verification APIs are embedded in CI/CD, partner integrations, or customer-facing automation.
Best practice is evolving for several edge cases. First, shared verification endpoints that serve multiple applications are common, but they should not share one long-lived token unless there is no safer alternative. Second, machine-to-machine integrations sometimes use API keys because the platform does not yet support workload identity; current guidance suggests compensating with very short TTLs, strict scoping, and monitoring until migration is possible. Third, when tokens live in third-party systems such as ticketing or collaboration tools, the risk is not only exposure but delayed revocation. NHI Management Group’s research shows how quickly secret sprawl becomes operational debt, including the State of Secrets Sprawl 2026 and the 2025 State of NHIs and Secrets in Cybersecurity.
There is no universal standard for this yet, but mature programs treat verification APIs as first-class identities even when the underlying platform does not. The failure mode is predictable: once a token becomes the default way systems prove trust, any missing owner, stale credential, or unreviewed exception turns the verifier into a hidden privilege path.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10, OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Unowned verification APIs and tokens are an NHI inventory and ownership failure. |
| OWASP Agentic AI Top 10 | A2 | Runtime trust decisions for autonomous systems depend on governed non-human identities. |
| CSA MAESTRO | IAC-02 | Agent and service identities need lifecycle controls to prevent hidden trust paths. |
| NIST AI RMF | AI and automation governance must include accountability for machine-generated trust decisions. | |
| NIST CSF 2.0 | PR.AC-1 | Verification tokens are access mechanisms that must be managed and reviewed. |
Inventory every verification API and token, assign an owner, and remove any identity with no accountable steward.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on July 14, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
