Organisations should check whether service accounts, API integrations, tokens, and AI agents are first-class citizens in the access model. Effective coverage means the same lifecycle rules, risk treatment, reviews, and offboarding discipline apply to machine identities as to people. If those identities sit outside governance, the organisation is leaving a major access surface unmanaged.
Why This Matters for Security Teams
Access management often looks complete on paper while leaving machine identities outside the control set. That gap matters because service accounts, API keys, tokens, and agent identities do not behave like employees: they are embedded in code, pipelines, integrations, and automation paths that expand faster than manual review can keep up. Current guidance from the OWASP Non-Human Identity Top 10 and NIST’s Cybersecurity Framework 2.0 both point toward identity inventory, privilege control, and continuous monitoring, but organisations still often measure only human IAM maturity.
NHI Management Group’s Ultimate Guide to NHIs highlights that 97% of NHIs carry excessive privileges, which is a strong signal that coverage is not the same as control. The practical question is whether machine identities are discoverable, owned, reviewed, rotated, and retired with the same discipline as people. In practice, many security teams discover that access management failed its test only after a service account or API token has already been used to move laterally or exfiltrate data.
How It Works in Practice
Evaluating effectiveness starts with mapping the full NHI population, not just directory-managed users. That includes service accounts, workload identities, API integrations, CI/CD credentials, certificates, and autonomous agents. Each identity should have an owner, a purpose, an expiry or rotation policy, and a recorded dependency chain. The control question is simple: can the organisation show who issued it, where it is used, what it can reach, and how it is removed?
From there, teams should test whether standard access controls apply consistently. In mature environments, this means the same lifecycle expectations used for human accounts also exist for machine identities: approval, least privilege, periodic review, credential rotation, and offboarding. NHI Management Group’s Lifecycle Processes for Managing NHIs is useful because it frames this as a lifecycle problem, not just an authentication problem. The strongest programs also align with NIST SP 800-53 Rev 5 Security and Privacy Controls by applying access review and account management controls to non-human identities where they are operationally relevant.
- Verify that NHIs appear in the identity inventory and access review cadence.
- Check whether secrets are tied to a business owner and a defined expiration or rotation schedule.
- Confirm offboarding revokes tokens, keys, certificates, and service account access, not just user accounts.
- Measure privileged access separately for NHIs, since broad entitlements are common.
If the organisation cannot answer those questions with evidence, access management is only covering the human side of the estate. These controls tend to break down in hybrid and DevOps-heavy environments because identities are created inside pipelines and cloud services faster than governance processes can register them.
Common Variations and Edge Cases
Tighter NHI control often increases operational overhead, so organisations must balance stronger assurance against developer friction and service availability. That tradeoff is real, especially where legacy applications rely on shared accounts, long-lived keys, or undocumented integrations. Best practice is evolving, but there is no universal standard for every environment yet.
Some environments need exceptions for break-glass access, embedded devices, or third-party integrations that cannot support frequent rotation. Even then, exceptions should be time-bound, logged, and reviewed. The current best practice is to minimise long-lived static secrets and move toward shorter-lived credentials, stronger ownership, and better workload visibility. NHI Management Group’s Key Challenges and Risks section and 52 NHI Breaches Analysis both reinforce that the weakest point is usually not authentication itself, but unowned, unreviewed, or overprivileged machine access.
For audit purposes, the most useful test is not whether a policy exists, but whether it proves enforcement across all identity types. If NHIs are missing from lifecycle reviews, entitlement attestations, or revocation workflows, the access management program is incomplete even if the user side looks mature.
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 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF, NIST CSF 2.0 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Identity inventory and ownership are central to proving NHI coverage. |
| CSA MAESTRO | MAESTRO covers governance for autonomous workloads and machine access paths. | |
| NIST AI RMF | AIRMF supports accountability and risk measurement for AI-driven access decisions. | |
| NIST CSF 2.0 | PR.AC-1 | Access control governance should apply to all identity types, including machines. |
| NIST SP 800-63 | Digital identity assurance concepts help distinguish human and non-human identity treatment. |
Inventory every machine identity, assign owners, and verify it enters the same review cycle as users.
