Should organisations treat NHI secrets and human credentials under the same governance model?

Why This Matters for Security Teams

For organisations that run cloud workloads, CI/CD pipelines, service accounts, workload identities, and human users side by side, the real question is not whether the credential is human or non-human. It is whether the organisation can prove ownership, constrain privilege, and retire access without delay. That is why this issue maps cleanly to the governance logic in the NIST Cybersecurity Framework 2.0: identify assets, protect access, detect misuse, and recover quickly when trust is lost.

Teams often get this wrong by separating “identity” work for employees from “secrets management” work for applications. That split creates blind spots. A leaked API key, a stale certificate, or an overprivileged service account can be just as damaging as a compromised employee password, especially when both reach the same production environment. The governance model should therefore cover issuance, approval, rotation, monitoring, and revocation for both classes of credential, while still allowing different operational controls where the technical reality differs.

Current guidance suggests treating the lifecycle as shared and the enforcement as context-specific. NHI secrets may be shorter lived, more automated, and embedded in deployment workflows, but they still need accountable ownership and periodic review. Human credentials may be subject to stronger identity proofing and user authentication rules, yet they also require the same discipline around least privilege and removal. In practice, many security teams encounter this only after a stale secret or orphaned account has already been used in a production incident, rather than through intentional governance design.

How It Works in Practice

A workable model starts with a single policy baseline for all credentials that can reach systems, data, or administration functions. From there, organisations apply different control patterns depending on whether the credential is bound to a person, workload, application, or agent. The practical objective is consistency in governance and differentiation in implementation.

For human identities, the baseline usually includes identity proofing, authentication, role assignment, approval, periodic access review, and termination workflows. For NHI secrets, the same lifecycle concepts apply, but the implementation should emphasise automated issuance, scoped permissions, secret storage, rotation, and telemetry. The OWASP Non-Human Identity Top 10 is useful here because it highlights common failure patterns such as exposed secrets, weak rotation, and poor inventory hygiene.

Operationally, the governance model should answer five questions for every credential:

• Who or what owns it, and who approves its use?
• What systems, APIs, or data can it reach?
• How long is it valid, and how is renewal handled?
• How is misuse detected across logs, SIEM, and runtime monitoring?
• How is access revoked when the owner, workload, or purpose changes?

Where identity proofing is relevant for humans, the NIST SP 800-63 Digital Identity Guidelines remain the better reference point. Where technical safeguards around secrets, session control, and privileged access are needed, NIST SP 800-53 Rev 5 Security and Privacy Controls provides a more direct control mapping for access enforcement, auditability, and credential lifecycle management. These controls tend to break down when credentials are created outside formal workflows, because the organisation loses both ownership visibility and reliable revocation paths.

Common Variations and Edge Cases

Tighter credential governance often increases operational overhead, requiring organisations to balance faster delivery against stronger control over who or what can act in production.

There is no universal standard for treating every credential identically in implementation. Some secrets are ephemeral and generated by workload identity brokers, while others are long-lived and embedded in legacy systems that cannot rotate cleanly. Some human accounts are shared during incident response or service desk operations, which is generally a weak pattern and should be constrained as much as possible. Best practice is evolving toward eliminating shared credentials and replacing them with traceable, individually attributable access wherever feasible.

The important exception is not to confuse governance sameness with technical sameness. A human should usually be subject to stronger identity verification and user-centered controls, while a machine secret should be managed through automation, vaulting, and workload attestation. However, both should still be covered by one policy, one inventory, one review cycle, and one revocation expectation. That matters especially in hybrid environments where a service account can impersonate a user, an API key can unlock admin functions, or an AI agent can use secrets on behalf of a human operator.

Where the environment is highly dynamic, such as autoscaling cloud platforms or agentic workflows, the governance model should prioritise inventory accuracy and rapid expiry over manual review. Where the environment is heavily regulated, the same model should also support evidence collection for audits, incident response, and segregation of duties. The question is not whether NHI secrets and human credentials are the same object. The question is whether the organisation can manage both with one defensible lifecycle.

Related resources from NHI Mgmt Group

• What is the difference between human IAM controls and NHI governance?
• When should organisations treat an NHI as a high-priority risk?
• What does the 144:1 NHI-to-human ratio mean for IAM governance programmes?
• Should organisations treat service accounts and AI agents under the same authorization model?