Look for complete inventory, named ownership, entitlement review, rotation discipline, and offboarding evidence for every machine identity. If service accounts, tokens, or certificates cannot be traced to a business owner and a revocation path, the programme is not under control. Visibility without ownership is only partial governance.
Why This Matters for Security Teams
Machine identities are only under control when security can prove they are inventoried, owned, reviewed, rotated, and revoked on demand. That is harder than it sounds because service accounts, workload tokens, certificates, and API keys often accumulate outside normal joiner-mover-leaver processes. The result is a control gap that looks quiet in dashboards but expands attack surface in production. NHI Management Group’s Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which is a strong signal that visibility and governance are still frequently confused.
Current guidance from NIST Cybersecurity Framework 2.0 reinforces that identity controls must be measurable and continuously governed, not merely documented. For machine identities, this means teams should be able to answer who owns each identity, what it can access, how long that access lasts, and how it is removed when no longer needed. The practical test is simple: if a credential can survive a team change, a pipeline rebuild, or a vendor handoff without a named revocation path, it is not under control. In practice, many security teams discover unmanaged machine identities only after a breach review or a failed offboarding event, rather than through intentional lifecycle governance.
How It Works in Practice
A controlled machine identity programme starts with a complete inventory, but inventory alone is not enough. Each service account, certificate, secret, and token needs named business ownership, technical ownership, and a clear system of record. Security teams should then classify identities by function: human-operated service accounts, CI/CD identities, application-to-application identities, and autonomous workload identities. That classification matters because the control expectations differ. A batch job token with a six-hour TTL should be handled differently from a certificate pinned into a legacy integration. The baseline is lifecycle traceability from creation to revocation.
Operationally, mature teams use three checks. First, entitlement review: can access be explained in terms of business purpose and least privilege? Second, rotation discipline: are secrets and certificates rotated on a schedule that matches their risk and usage pattern? Third, offboarding evidence: when a system, app, or vendor is retired, can teams show the identity was revoked and downstream integrations were updated? The Ultimate Guide to NHIs — Standards is useful here because it frames lifecycle, rotation, and exposure as governance obligations, not ad hoc hygiene. For implementation detail, current NIST-aligned practice is to pair this with formal access reviews and policy enforcement, as reflected in NIST Cybersecurity Framework 2.0.
Teams that want evidence instead of opinion often track four artifacts: an authoritative inventory, owner assignment records, rotation logs, and revocation tickets or pipeline records. That combination shows whether control is real or merely assumed. These controls tend to break down when identities are embedded in legacy applications, because revocation can require code changes, service restarts, or coordination across multiple platform owners.
Common Variations and Edge Cases
Tighter lifecycle control often increases operational overhead, requiring organisations to balance fast delivery against traceable governance. That tradeoff becomes most visible in cloud-native and CI/CD-heavy environments, where identities are created automatically and may exist for only a short time. Best practice is evolving toward shorter TTLs, ephemeral credentials, and stronger automation, but there is no universal standard for how short is short enough across every workload.
Edge cases usually involve shared service accounts, vendor-managed integrations, and secrets embedded in code or configuration. Shared accounts may appear efficient, but they obscure ownership and make revocation risky. Vendor-managed identities require contract-backed offboarding and explicit proof of deletion. Hard-coded secrets are the clearest sign that control is weak, especially when the same credential survives multiple deployments. NHI Management Group has also documented real-world exposure patterns such as JetBrains GitHub plugin token exposure and Azure Key Vault privilege escalation exposure, both of which show how machine identity weaknesses often emerge through adjacent tooling rather than the primary application itself. In practice, the programme is under control only when exceptions are rare, time-bound, and reviewed.
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 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 | Inventory and ownership are core to controlling non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Identity management and access control underpin machine identity governance. |
| NIST CSF 2.0 | PR.DS-1 | Secrets rotation and protection relate directly to data security safeguards. |
Map machine identities to access control records and verify least privilege continuously.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 25, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
