Organisations should include non-human identities as soon as service accounts, API keys, certificates, or automation tokens can reach production systems. Those identities create persistent access paths, often with weaker ownership and slower offboarding than human accounts, which makes them a core governance concern rather than a side case.
Why This Matters for Security Teams
Non-human identities should enter GRC programmes at the point they can access production, because that is when they stop being an IT convenience and start becoming a governance control surface. Service accounts, API keys, certificates, and automation tokens often persist long after the original owner has changed, the workload has been retired, or the pipeline has been copied into another environment. NHI Mgmt Group research shows that NHIs outnumber human identities by 25x to 50x in modern enterprises, which means the review burden is not theoretical. Current guidance from NIST Cybersecurity Framework 2.0 supports treating identity governance as an enterprise risk discipline, not just an access admin task.
The common mistake is waiting for a breach or audit finding before assigning ownership, scoping inventory, and defining offboarding. That delay is costly because NHI access is usually embedded in code, CI/CD, and infrastructure templates, where revocation requires coordination across teams rather than a single helpdesk action. The JetBrains GitHub plugin token exposure is a practical reminder that secrets and tokens are often discovered only after they have already been used outside their intended boundary. In practice, many security teams encounter NHI sprawl only after production systems have accumulated unmanaged access paths, rather than through intentional governance design.
How It Works in Practice
The practical answer is to fold NHIs into the same GRC lifecycle used for people, but with controls that match machine speed. That means each NHI needs an owner, purpose, system boundary, expiry rule, and review cadence. Inventory is the starting point: if the organisation cannot locate where service accounts, keys, and certificates live, it cannot attest to them. NHI Mgmt Group research notes that only 5.7% of organisations have full visibility into their service accounts, which is why GRC programmes should require discovery reporting before any control attestation. See also NIST Cybersecurity Framework 2.0 for governance and risk-management mapping.
From there, the operational controls should cover:
- registration of every production NHI in the asset and identity register;
- named business and technical ownership, not shared team ownership;
- least privilege with periodic entitlement review, aligned to RBAC where it is actually suitable;
- credential rotation and expiry enforcement for secrets, certificates, and tokens;
- offboarding triggers tied to application retirement, pipeline changes, and vendor exits;
- exception handling for break-glass or legacy systems with explicit risk acceptance.
When organisations build that discipline into policy-as-code and workflow approvals, they can map the control set to NIST Cybersecurity Framework 2.0 functions and to identity-centric programmes such as PAM, JIT, and Zero Trust. For practitioners, the question is not whether an NHI is “critical enough” to govern, but whether it can reach data, build systems, or customer-facing services. The guidance breaks down in highly dynamic CI/CD and ephemeral container environments when owners rely on manual inventories, because identities appear and disappear faster than review cycles can track them.
Common Variations and Edge Cases
Tighter NHI governance often increases operational overhead, so organisations need to balance assurance against release speed and platform complexity. That tradeoff is real in cloud-native estates, legacy mainframes, and third-party integrations where rotation or expiry can break dependent services. Best practice is evolving, but current guidance suggests that any NHI with standing access to production should be governed, while lower-risk test identities may be handled through lighter controls if they cannot touch sensitive systems.
One frequent edge case is autonomous software and agentic tooling, where the identity is not just a credential holder but an execution actor. In those environments, static role assignments are often too blunt, and runtime policy decisions may need context about task, tool, data sensitivity, and approval state. Security teams should treat that as a stronger case for GRC inclusion, not a reason to postpone it. The JetBrains GitHub plugin token exposure illustrates how quickly a single leaked token can become an enterprise-wide issue once it is reused across environments. For that reason, there is no universal standard for how much exception handling is acceptable; the operating rule should be whether the identity can create persistent access without a human in the loop.
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-03 | Covers rotation and lifecycle control for non-human credentials. |
| NIST CSF 2.0 | PR.AC-4 | Access management applies directly to NHI ownership and least privilege. |
| NIST AI RMF | Useful where autonomous tooling behaves like an AI-enabled workload. |
Use AI RMF governance to assign accountability, monitoring, and escalation paths for agentic NHIs.
