Because service accounts, API keys, certificates, and tokens can carry persistent access that is not governed by employee-centric lifecycle processes. If those identities are excluded, the programme can pass a compliance check while missing the accounts most likely to be overprivileged or unattended. NHI visibility turns compliance from a documentation exercise into a defensible control practice.
Why This Matters for Security Teams
Compliance tools are only as good as the identity inventory they can see. When service accounts, API keys, certificates, and machine tokens sit outside employee directories, reporting can look clean while the real risk remains untouched. NHI Management Group’s Ultimate Guide to NHIs — Regulatory and Audit Perspectives shows why auditors now expect evidence of control over non-human identities, not just human users. That expectation aligns with the NIST Cybersecurity Framework 2.0, which emphasizes visibility, governance, and ongoing risk management rather than one-time checklists.
The practical issue is simple: compliance tooling often inherits the same blind spots as legacy IAM, so it measures what is easy to count instead of what is most exposed. NHI-related failures tend to persist because the identities are embedded in code, CI/CD pipelines, cloud services, and integrations that do not map cleanly to HR-driven lifecycle processes. In practice, many security teams encounter NHI noncompliance only after a secrets leak, a failed audit, or a third-party incident has already occurred, rather than through intentional control testing.
How It Works in Practice
To account for non-human identities, compliance tools need to shift from user-centric reporting to workload-centric control evidence. That means inventorying machine identities across cloud accounts, source control, orchestration platforms, SaaS integrations, and infrastructure services, then tying each identity to an owner, purpose, privilege scope, and rotation or expiration policy. The goal is not just discovery. It is proving that the identity has a defined lifecycle and that its credentials are governed as security artifacts, not as administrative leftovers.
In mature programmes, compliance checks should validate several things at runtime and during review:
- Whether the NHI is registered, classified, and assigned to a business or technical owner.
- Whether the secret or certificate has a documented TTL, rotation schedule, and revocation path.
- Whether privilege aligns to the minimum required scope and is reviewed on a recurring basis.
- Whether the identity is used in production, development, or third-party contexts, since each carries different exposure.
For controls, this is where NHI-specific research becomes operational. The Top 10 NHI Issues highlights recurring failures such as excessive privilege, poor rotation, and secrets stored outside dedicated vaults. Those findings are consistent with current guidance from NIST CSF 2.0, which treats asset and identity visibility as prerequisites for trustworthy governance. A useful compliance tool should therefore produce evidence that can answer: what exists, who owns it, what it can access, and how quickly it can be revoked.
Where possible, the tool should also distinguish between static credentials and short-lived credentials, because the compliance posture is different. A long-lived API key embedded in a pipeline is not equivalent to an ephemeral token minted for a single task. These controls tend to break down when credentials are created outside centralized onboarding flows, because the tool cannot reliably infer ownership, purpose, or revocation status.
Common Variations and Edge Cases
Tighter NHI control often increases operational overhead, requiring organisations to balance auditability against development speed and service reliability. That tradeoff becomes especially visible in environments with high deployment frequency, multi-cloud sprawl, or large numbers of third-party integrations, where forcing every identity through the same process can slow delivery if the tool design is too rigid.
There is no universal standard for this yet, so best practice is evolving. Some teams treat service accounts as first-class identities with approval workflows, while others separate compliance evidence by environment or risk tier. The key is consistency: a compliance tool should not let one class of identity disappear simply because it was created by automation instead of a person. This is particularly important for secrets in code repositories and CI/CD systems, which often evade employee-centric review cycles.
In audit and remediation work, the most useful tools are the ones that can demonstrate repeatable control over the full NHI lifecycle, including offboarding and rotation. NHI Management Group’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is a strong reference point for this model. Compliance teams should treat exceptions carefully: break-glass accounts, legacy integrations, and vendor-managed services may need compensating controls, but they should never be left outside the inventory. If a tool cannot surface those exceptions clearly, it will understate risk in the exact places auditors and attackers care about most.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | NHI inventory and ownership are central to compliance visibility. |
| NIST CSF 2.0 | ID.AM-2 | Asset management must include machine identities to support compliance evidence. |
| NIST AI RMF | AI RMF governance supports accountability for automated and machine-driven identity use. |
Inventory every non-human identity, assign ownership, and track each one through its lifecycle.
