Which frameworks should guide identity governance for human and non-human identities?

Why This Matters for Security Teams

Identity governance is no longer just about employees and contractors. Modern estates now include service accounts, API keys, workloads, and AI agents that can act independently and accumulate privilege faster than human review cycles can keep up. That is why NIST Cybersecurity Framework 2.0 is useful as an outcomes-based anchor, while NHI-specific guidance is needed for lifecycle, visibility, and revocation discipline. The gap is already visible in practice: Ultimate Guide to NHIs reports that only 5.7% of organisations have full visibility into their service accounts.

Security teams often assume a single identity program can treat humans and non-humans the same way. That assumption breaks down because human access is usually session-based and reviewed through HR-linked processes, while NHI access is machine-driven, long-lived, and frequently embedded in code, pipelines, and infrastructure. The practical question is not whether identity governance exists, but whether it covers all identity types with the same rigor. NIST’s Cybersecurity Framework 2.0 helps define the governance outcome, but it does not by itself solve NHI-specific inventory, rotation, and offboarding. In practice, many security teams encounter NHI exposure only after a secret has already been reused, copied, or left valid long after the workload changed.

How It Works in Practice

A practical governance model starts by separating the control objective from the identity type. For humans, that usually means joiner-mover-leaver processes, role design, and periodic access review. For non-human identities, governance must extend to inventory, ownership, secret handling, rotation, and revocation. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful because it frames NHI governance as a lifecycle problem rather than a one-time provisioning task.

At minimum, organisations should map each identity type to the control outcomes it supports:

• Human identities: authenticated user access, role assignment, and periodic recertification.
• NHI workload identities: ownership, purpose, scope, and cryptographic proof of workload origin.
• Secrets: storage location, rotation cadence, exposure paths, and emergency revocation.
• Privileged access: just-in-time elevation, approval, and short-lived permissions.

For implementation, NIST CSF 2.0 provides the governance language, but teams usually need NHI-specific controls to make it operational. That means integrating cloud IAM, secret managers, CI/CD, and runtime telemetry so that an API key or service account is treated as a governed asset, not a static configuration detail. Current guidance suggests using a formal owner for every NHI and a measurable revocation path for every secret. Top 10 NHI Issues is a practical reference for the recurring failure modes that show up when teams skip those steps. These controls tend to break down in highly automated cloud environments because identities are created faster than inventory, ownership, and rotation can be kept current.

Common Variations and Edge Cases

Tighter identity governance often increases operational overhead, requiring organisations to balance stronger control with deployment speed and platform complexity. That tradeoff becomes especially visible when AI systems, ephemeral workloads, and third-party integrations all need access at once. There is no universal standard for this yet, so best practice is evolving around workload identity, short-lived credentials, and policy enforcement at request time rather than fixed entitlement lists.

One common edge case is mixed trust in the same pipeline. A human may approve a deployment, while an automated build runner, a service account, and an AI agent each hold different parts of the execution path. In those environments, the cleanest governance model is often to assign each identity a narrow purpose and to revoke access automatically when the task completes. That aligns with the NHI discipline described in Ultimate Guide to NHIs — Regulatory and Audit Perspectives, especially where audit teams need evidence of continuous control rather than annual certification alone. For broader standards mapping, the NIST CSF 2.0 remains the governance backbone, but organisations should treat NHI and agentic workloads as distinct operational classes, not as extensions of human IAM. In practice, the hardest failures appear when static credentials are reused across multiple systems because no one can prove which identity actually performed the action.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities at scale?
• How should security teams govern non-human identities for compliance?
• Why do non-human identities create more audit risk than human accounts?
• How should security teams govern non-human identities in Salesforce?