Teams should govern machine identity as a separate identity class with its own inventory, authentication method, and review cycle. Devices, cameras, robots, and similar assets should not inherit assumptions designed for people. If they do, the programme misses a major part of the attack surface and leaves trust unmanaged.
Why machine identity needs its own governance model
machine identity is not just a scaled-down version of user identity. Devices, robots, cameras, workloads, services, and integrations authenticate differently, fail differently, and expire differently, so governance has to account for machine-specific ownership, lifecycle, and trust boundaries. The practical question is whether the programme can inventory, authenticate, and review these identities without borrowing human assumptions.
A useful starting point is to separate the identity class from the asset class. A camera, PLC, robot, or service account may be operationally useful, but it still needs explicit registration, an accountable owner, and a defined purpose. When those basics are missing, teams usually discover the identity only after an outage, an audit, or a compromise.
That separation also helps prevent policy drift. Human access often assumes a person can be challenged, trained, and reauthenticated interactively; machine access usually depends on certificates, tokens, keys, federated trust, or automated rotation. If governance treats those as interchangeable, it becomes difficult to tell which access is current, which is stale, and which is no longer justified.
How to govern mixed human and device environments
The cleanest operating model is a shared identity programme with distinct control paths for people and machines. Teams should keep one inventory, but not one set of assumptions: humans need provisioning and review logic tied to employment and role changes, while machines need lifecycle controls tied to deployment, ownership, dependency changes, and retirement. That is especially important when a device or service can act at scale or without direct supervision.
Authentication method is the next control point. Human identities typically rely on interactive sign-in controls, while machine identities should use mechanisms suited to automated trust, such as certificates, workload federation, or scoped client credentials. NHI Authentication Guide is a useful reference for the range of machine authentication patterns teams need to standardise.
Governance also needs a different review cadence. Human accounts are often reviewed around job changes, access recertification, or periodic access campaigns; machine identities need review when code, hardware, configuration, environment, or upstream trust changes. Service Account Security Guide is a practical companion here because it focuses on discovery, least privilege, rotation, and governance for service-style identities across common enterprise platforms.
What good governance looks like in practice
Good governance starts with ownership and visibility. Every machine identity should map to a business or technical owner, a purpose, a system boundary, and a retirement trigger. NHI Ownership and Accountability Guide reinforces why orphaned identities become blind spots, especially when assets are replaced, decommissioned, or repurposed.
Good governance also distinguishes certificate, secret, and token management from general access administration. Many machine identities are really collections of credentials and trust material that must be rotated, expired, or reissued on a predictable schedule. Machine Identity, PKI and Certificate Lifecycle Guide is especially relevant when certificates are the trust anchor and renewal automation is part of the control design.
At scale, teams should look for reuse, shared credentials, long-lived secrets, and overly broad entitlements. Top 10 NHI Issues is a useful reminder that the common failure pattern is not the existence of machine identity, but the accumulation of unmanaged access around it.
Risk and Threat Considerations
Machine identity becomes a security problem when it is treated as invisible infrastructure instead of governed access. Long-lived credentials, shared secrets, and weak ownership turn devices and services into durable footholds, while excessive privileges let one compromised identity expose many systems at once.
Failure mechanism: A machine identity is issued, copied, embedded, or inherited without a separate inventory, owner, or expiry discipline, so it persists after the original need has changed. Attackers and internal misuse then benefit from credentials that are hard to notice, hard to revoke quickly, and easy to reuse across environments.
Impact: Compromise can lead to lateral movement, unauthorized data access, service abuse, or hard-to-trace operational failure. In mixed environments, the blast radius is often larger than with human accounts because machine access is commonly automated, persistent, and less visible to normal review processes.
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 addresses the attack surface, NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, and ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | Machine identities need separate retirement and revocation when devices or services change. |
| NHI-02 — Secret Leakage | Mixed environments often fail when machine credentials are embedded, copied, or unmanaged. | |
| NHI-05 — Overprivileged NHI | Device and service identities often accumulate access beyond their operational need. | |
| Recommendation — Revoke and retire machine identities when the underlying asset or workload is decommissioned. Prevent credential exposure with vaulting, rotation, and strict secret handling. Apply least privilege and recertify machine entitlements on a fixed cadence. | ||
| NIST SP 800-53 Rev 5 | IA-9 — Identification and Authentication (Non-Organizational Users) | Machine identities authenticate as non-organizational actors and need explicit trust controls. |
| IA-5 — Authenticator Management | Machine identity governance depends on lifecycle control of credentials, keys, and tokens. | |
| Recommendation — Use IA-9 to govern authentication for services, workloads, and devices. Manage machine authenticators with expiry, rotation, storage, and revocation controls. | ||
| ISO/IEC 27001:2022 | A.5.16 — Identity management | Mixed human and device environments require distinct identity records and accountability. |
| A.8.5 — Secure authentication | Machine identities need authentication methods appropriate to automated trust, not user sign-in assumptions. | |
| Recommendation — Maintain identity records that distinguish people, devices, services, and their owners. Select authentication methods that fit machine-to-machine trust and renewal needs. | ||
| CIS Controls v8 | CIS-5 — Account Management | Machine identity governance is fundamentally an account and entitlement management problem. |
| Recommendation — Inventory, provision, review, and deprovision machine accounts with the same rigor as human accounts. | ||
Practitioner Guidance
What to prioritise: Put machine identity into the same governance programme as human identity, but with separate lifecycle rules, ownership, and authentication standards. The first control objective is not centralisation, it is making every machine identity discoverable, attributable, and revocable.
What to verify: Confirm that each machine identity has an explicit owner, a defined authentication method, a documented purpose, and a renewal or retirement trigger. If any of those are missing, treat the identity as unmanaged until proven otherwise.
Decision rule: If the identity can authenticate non-interactively or can reach production systems, review it more like a service credential than a user account. If it cannot be clearly linked to a business process or system dependency, remove or isolate it before expanding its permissions.
Practitioner takeaway: The main governance mistake is assuming that a device or workload can inherit human identity logic unchanged; effective programmes manage machine identity as a distinct trust class with tighter lifecycle discipline and clearer accountability.
Related resources from NHI Mgmt Group
- How should security teams govern AI native engineering environments with mixed human and machine identities?
- How should security teams prevent orphan accounts in mixed human and machine identity environments?
- What breaks when IT environments rely on mixed device fleets and duplicated identity systems?
- How should teams govern identity, device, and access controls in a unified platform?
Deepen Your Knowledge
Free weekly newsletter
Subscribe to the NHI & AI Identity Journal
The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.
Bonus 33% off our NHI Course when you subscribe.
Reviewed and updated by the NHIMG editorial team on October 8, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org