Should organisations treat non-human identities differently from human users in governance?

Why This Matters for Security Teams

Yes, organisations should treat NHIs differently because the risk profile is fundamentally different from human access. Human users typically log in interactively, follow familiar patterns, and can be governed through periodic access reviews. NHIs are often embedded in pipelines, APIs, bots, service accounts, and integrations that change quickly, run continuously, and accumulate privileges without a person noticing. That makes lifecycle control, review cadence, and evidence collection more important than one-time provisioning.

NHIMG research shows the scale of the issue: in The State of Non-Human Identity Security, only 1.5 out of 10 organisations said they were highly confident in securing NHIs, compared with nearly 1 in 4 for human identities. That confidence gap matters because insecure machine access is not a niche problem. It is a mainstream control failure that shows up in missed rotations, over-privileged accounts, and weak logging. The right governance model is therefore not just “IAM, but for machines”; it is a more operational, more automated control set that reflects how NHIs actually behave. Current guidance in NIST Cybersecurity Framework 2.0 still maps well here, but it must be applied with machine identity realities in mind. In practice, many security teams discover NHI exposure only after a token leak, stale secret, or unmanaged integration has already been exploited.

How It Works in Practice

Effective NHI governance starts by separating machine identities by function, ownership, and blast radius rather than by department or user group. That means knowing which identities are service accounts, API clients, workload identities, automation bots, or vendor-connected integrations, then assigning each one a clear owner and a defined purpose. From there, lifecycle controls should be enforced as a continuous process, not a quarterly cleanup exercise. NHIMG’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful here because most failure modes begin when provisioning, rotation, and decommissioning are treated as separate tasks rather than one control loop.

Practitioners usually need a mix of technical and governance controls:

• Use least privilege and short-lived access so credentials are not reusable far beyond the task that needs them.
• Prefer workload identity and cryptographic proof of identity over shared secrets where possible.
• Rotate secrets automatically and revoke them on workflow completion, incident response, or ownership change.
• Log machine-to-machine activity with enough context to identify the workload, the issuing system, and the approval basis.
• Review entitlements more frequently than human access, especially for internet-facing or third-party-connected NHIs.

This approach aligns well with NIST Cybersecurity Framework 2.0, particularly around access control, monitoring, and governance, but the operational detail has to be adapted for machine speed. For example, the Top 10 NHI Issues page highlights why stale credentials and ownership gaps keep recurring: machine identities are often created faster than they are reviewed. These controls tend to break down when secrets are shared across environments because revocation then becomes disruptive and teams delay cleanup.

Common Variations and Edge Cases

Tighter machine-identity control often increases engineering overhead, so organisations have to balance security depth against deployment speed. That tradeoff is real in CI/CD pipelines, distributed microservices, and third-party SaaS integrations, where hard resets or manual approval gates can interrupt production work. Best practice is evolving rather than settled for every environment, especially where agentic automation, ephemeral compute, or vendor-managed workloads are involved.

One common exception is high-churn automation, where identities are created and destroyed so quickly that periodic review alone is not enough. In those cases, short-lived credentials and explicit expiry become more important than static entitlements. Another edge case is vendor-connected access through OAuth or delegated tokens. In those scenarios, the governance question is not just who owns the identity, but who can observe and revoke the connection. NHIMG notes in The State of Non-Human Identity Security that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which makes normal IAM review insufficient. For audit-heavy environments, the Ultimate Guide to NHIs — Regulatory and Audit Perspectives is a useful reference because evidence expectations for machines are usually stricter than teams assume. The practical rule is simple: if an identity can act without a person present, it needs its own governance model, not a human-user approximation.

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?