What breaks when organisations manage machine identities like user accounts?

Why This Matters for Security Teams

Managing machine identities like user accounts breaks because the identity model no longer matches the workload. Humans have stable login patterns, prompts, and HR-driven lifecycle events. Service accounts, API keys, workload tokens, and certificates do not. When teams force them into user-first processes, they lose ownership clarity, rotation discipline, and reliable attribution. The result is a control environment that looks complete on paper but misses the actual trust relationships in production.

This is not a theoretical gap. NHI Management Group research shows that only 5.7% of organisations have full visibility into their service accounts, while 71% of NHIs are not rotated within recommended time frames. That means the review process is often operating on partial data, long after the credential has been issued and embedded in code, pipelines, or runtime automation. NIST’s NIST Cybersecurity Framework 2.0 is useful here because it emphasises asset visibility and governance, but the control must be applied to machine identities as first-class assets, not as proxy users.

In practice, many security teams discover the real failure only after a stale secret, orphaned token, or overprivileged service account has already been used in an incident.

How It Works in Practice

Machine identities need their own lifecycle, ownership model, and enforcement points. The practical shift is to treat each credential as a workload-bound asset with a defined purpose, scope, TTL, and revocation path. That means tying the identity to the application, pipeline, or automation job that uses it, then enforcing issuance, rotation, and offboarding through dedicated controls rather than human joiner-mover-leaver workflows.

Current guidance suggests that the strongest pattern is a combination of workload identity and just-in-time access. Instead of issuing long-lived secrets to a “service user,” organisations issue short-lived credentials at task time, bound to the calling workload and its context. Standards and implementation guidance from SPIFFE and IETF support this direction by shifting trust from static passwords to cryptographic proof of workload identity and time-limited tokens. That reduces the value of theft and makes revocation operationally meaningful.

For lifecycle control, NHI Management Group recommends following the principles in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs and the NHI Lifecycle Management Guide. Those resources align well with practical controls such as:

• explicit business or service ownership for every machine identity
• time-bound credentials with automated renewal and revocation
• centralised discovery of secrets in code, CI/CD, and runtime environments
• separation of human access review from workload access governance
• continuous monitoring for unused, duplicated, or overprivileged identities

Where teams get into trouble is assuming that MFA, password resets, and periodic user access reviews will expose machine-identity risk. They will not. These controls tend to break down in CI/CD-heavy environments because the credentials are embedded in automation and reused across systems faster than human review cycles can detect.

Common Variations and Edge Cases

Tighter machine-identity control often increases operational overhead, requiring organisations to balance stronger revocation and rotation against pipeline stability and developer friction. That tradeoff is real, especially where legacy applications expect static secrets or where external integrations cannot consume short-lived tokens yet.

There is no universal standard for every environment, but the consensus is clear that long-lived static credentials should be the exception, not the default. In regulated or high-change environments, teams may need transitional patterns such as secret vaulting, scoped service accounts, or brokered token exchange while they modernise applications. The important point is that these are migration steps, not an end state.

Edge cases also appear in third-party integrations and air-gapped systems. NHI Management Group research highlights how exposed machine identities can be, including the fact that 92% of organisations expose NHIs to third parties. When external partners or disconnected platforms are involved, ownership and revocation become harder, so the organisation needs stronger contract language, inventory discipline, and monitoring. The Top 10 NHI Issues and the Ultimate Guide to NHIs — Regulatory and Audit Perspectives are useful references when audit evidence, retention, and offboarding expectations do not map cleanly to human-centric identity controls.

For organisations modernising slowly, the best practice is evolving toward workload identity, just-in-time issuance, and policy enforcement at runtime. The key is to stop asking whether a machine identity “looks like a user” and start asking whether it can be discovered, scoped, rotated, and revoked as a workload.

Related resources from NHI Mgmt Group

• What breaks when organisations treat agent identities like service accounts?
• What breaks when organisations manage service accounts like human users?
• What breaks when machine identities are not vaulted or rotated?
• How can organisations reduce the risk of stale API keys and machine tokens?