It matters because machine identities often outnumber human identities and can carry broad access across applications, APIs, and infrastructure. If they are not governed with the same discipline as human access, they become persistent trust paths that are hard to see, hard to review, and easy to overprivilege. That creates risk across cloud, development, and operational environments.
Why extending governance to non-human identities changes the security model
Machine identities are not a side issue in modern identity security; they are often the main way applications, pipelines, and services authenticate and act. When governance only covers people, the organisation leaves a large class of credentials, tokens, certificates, and service accounts outside the normal controls for ownership, review, and revocation. NHIMG research shows that NHIs outnumber human identities by 25x to 50x in modern enterprises, which means even a small control gap can scale quickly.
That scale matters because non-human identities tend to be persistent, highly automated, and widely connected. They are used by cloud workloads, CI/CD systems, SaaS integrations, and APIs that need continuous access, so they often accumulate privilege over time. If no one is clearly accountable for their lifecycle, they become durable trust paths that attackers can abuse and defenders struggle to inventory. The issue is not just exposure; it is also control drift, where the identity still works long after the business need has changed.
In practice, many security teams discover the problem only after an old service account or token has already been used as a quiet path into production systems.
How governance works when the identity is a workload, service, or integration
Extending governance to NHIs means treating machine authentication as an identity lifecycle, not a one-time configuration. That starts with ownership: every API key, workload identity, certificate, OAuth app, or automation account needs a clearly accountable business and technical owner. It then continues through issuance, scope, rotation, monitoring, and offboarding. The same question that applies to a human account must also apply here: who approved it, what can it reach, how long should it live, and how will it be retired?
Current guidance suggests that static, long-lived credentials are especially risky for machine use because they are hard to audit at scale and easy to reuse across environments. Short-lived secrets, workload identity, just-in-time access, and tight scoping reduce the blast radius when an integration is compromised. Governance also needs visibility into where these identities are embedded. NHIMG reports that 96% of organisations store secrets outside secret managers in places such as code, config files, and CI/CD tools, which shows why discovery is part of governance, not a separate hygiene task.
In practice, teams should verify three things before trusting an NHI: first, that it has a named owner; second, that its permissions match a current business use case; and third, that rotation and revocation are operationally possible without breaking production. The Ultimate Guide to NHIs is useful here because it frames lifecycle, visibility, and offboarding as one governance chain rather than isolated controls. For broader control alignment, NIST Cybersecurity Framework 2.0 helps connect identity governance to asset visibility, access control, and ongoing monitoring.
- Inventory machine identities alongside human accounts, not in a separate shadow register.
- Prefer short-lived credentials and workload-bound authentication where automation can support it.
- Review NHI permissions on the same cadence as human privileged access, but with stronger attention to embedded use cases.
- Make revocation testable so the team can prove a credential can be retired without manual rescue work.
These controls tend to break down when identities are spread across multiple cloud platforms and application owners can create credentials without central visibility.
What breaks when NHIs are treated as permanent trust instead of governed access
Tighter governance often increases operational overhead, especially in fast-moving development and cloud environments, so organisations have to balance control against automation friction. The trade-off is worth it because unmanaged NHIs create a very specific class of failure: credentials that are valid long after the person who created them has moved on, the integration has changed, or the original purpose has disappeared. That is how privilege becomes durable rather than intentional.
One common edge case is third-party and partner access. OAuth apps, vendor integrations, and outsourced automation can look low risk because they are not human users, but they may carry broad delegated access and limited internal ownership. Another is ephemeral infrastructure that still relies on persistent secrets underneath. The workload may scale up and down in minutes, yet the credential behind it may live for months. That mismatch is where governance usually lags reality. NHIMG’s Top 10 NHI Issues is helpful because it highlights the recurring failure patterns that turn NHI sprawl into persistent exposure.
In practice, the right standard is not “can the identity still authenticate?” but “should it still exist, and can we explain why it still has this scope?” When that answer is unclear, the identity is already a governance problem. For teams that need to connect identity discipline to broader control maturity, the relevant lesson is that NHI governance works best when ownership, visibility, and revocation are treated as mandatory operating conditions rather than cleanup tasks.
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 CIS Controls v8, NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Inventory and Ownership | NHI governance starts with owning and inventorying machine identities. |
| NHI-02 — Secrets and Credential Management | The question centers on governance of machine credentials and their lifecycle. | |
| NHI-03 — Least Privilege and Access Scope | Extending governance matters because NHIs often carry broad, excessive access. | |
| Recommendation — Assign owners to every machine identity and maintain a complete inventory. Use short-lived credentials and rotate machine secrets on a defined schedule. Limit each non-human identity to the minimum access needed for its function. | ||
| CIS Controls v8 | 5 — Account Management | Machine accounts need controlled provisioning, review, and removal. |
| 6 — Access Control Management | The question is about governing access paths created by NHIs. | |
| Recommendation — Track every machine account and remove unused or unapproved access promptly. Enforce least privilege and review delegated access for non-human identities. | ||
| NIST CSF 2.0 | PR.AA — Identity Management, Authentication, and Access Control | NHI governance is an identity and access control problem at scale. |
| DE.CM — Continuous Monitoring | Invisible or stale NHIs require ongoing monitoring to detect drift and misuse. | |
| Recommendation — Apply identity and access controls consistently to human and non-human actors. Continuously monitor non-human identities for unusual use, scope drift, and stale activity. | ||
| NIST Zero Trust (SP 800-207) | 3 — Generalized Trust Zones | NHIs become durable trust paths unless access is continuously validated. |
| 5 — Policy Engine | Machine access should be governed by dynamic policy, not static standing grants. | |
| Recommendation — Design NHI access so trust is evaluated continuously rather than assumed. Use policy-based authorization to constrain machine access in real time. | ||
Practitioner Guidance
What to prioritise: Start with inventories of service accounts, API keys, certificates, and OAuth app grants that have no named owner or no expiry. Those are the identities most likely to survive beyond their intended use and become hard to control.
Decision rule: If an NHI can reach production data or automation infrastructure, treat it as privileged access and require rotation, monitoring, and documented offboarding before approving exceptions.
What to measure: Track the share of NHIs with an owner, the share with expiry or rotation coverage, and the number of machine credentials that remain active after their application or vendor relationship has changed. Those signals show whether governance is real or merely documented.
Practitioner takeaway: The key shift is to manage non-human identities as living access paths with a lifecycle, not as technical leftovers, because that is where hidden privilege, stale trust, and audit failure accumulate.
