Yes, because the governance model is different even when the control objective is the same. Human accounts follow employment and authentication patterns; machine identities follow workload, integration, and secret-lifecycle patterns. Treating them identically leads to missed ownership, poor expiry discipline, and privilege that survives long after the business need has changed.
Why machine identities need a different governance model
Machine identities serve software, infrastructure, and integration paths, so their control model has to follow operational dependency rather than employment. A human account is tied to a person, a role, and a joiner-mover-leaver process; a machine identity is tied to a workload, deployment, or system interaction. That difference changes ownership, renewal, offboarding, and the way exceptions are handled.
For a machine identity, the right question is usually not who logged in last, but what system depends on it, where it is used, and what breaks if it expires. That is why service accounts, tokens, API keys, certificates, and workload credentials need inventory and lifecycle discipline as first-class controls, not as a subcase of user access administration. Human vs Non-Human Identity is a useful reference point when teams are deciding where the governance boundary should sit.
The practical implication is that the control objective can be similar, least privilege and traceability, but the operating model differs. Human access is often reviewed through manager, HR, and role changes; machine access is reviewed through application ownership, dependency mapping, and secret or certificate lifecycle. Service Account Security Guide and Ultimate Guide to NHIs both reinforce that distinction in real operating environments.
What goes wrong when they are managed the same way
Collapsing machine and human governance into one process usually creates three failure patterns. First, ownership becomes ambiguous, because no manager or employee record exists to anchor responsibility. Second, expiry and rotation slip, because machine credentials often need coordinated change windows and automated renewal. Third, privilege lingers, because integrations are left running long after the original business justification has ended.
Those failures are not theoretical. A back-end service account can expose downstream data and other credentials if it is overprivileged or not rotated, which is why machine identity incidents often spread through secrets rather than through interactive logon. The 52 NHI Breaches Report gives a useful breach-oriented lens, while Guide to NHI Rotation Challenges explains why expiry and rotation are harder at scale for machine credentials than for human passwords.
There is also a trust-boundary issue. Human accounts usually authenticate directly to a user-facing system, but machine identities are frequently delegated across services, clusters, CI/CD pipelines, and cloud platforms. That means one weak assumption in secret handling or token scope can create broad lateral movement potential, especially where the same identity is reused across environments. Guide to SPIFFE and SPIRE is a helpful way to think about workload identity when the architecture needs stronger service-to-service trust.
How to decide when to separate the control model
The cleanest rule is simple: if the access is bound to a person, use human identity governance; if the access is bound to software, infrastructure, or an automated process, use machine identity governance. That does not mean the policy goals change. It means the evidence, cadence, exception handling, and recovery steps must match the entity type.
For machine identities, ownership should attach to the application, platform, or service team that can actually rotate the credential, rebuild the workload, or retire the dependency. For human accounts, ownership can often be attached to people management and workforce lifecycle. NHI Ownership and Accountability Guide is directly relevant when organisations need a concrete ownership model for non-human access.
The other decision point is credential form. If the access is a certificate, secret, token, or federated workload credential, the organisation should define expiry, renewal, and revocation as operational requirements, not as optional hygiene. If the access is interactive and tied to a person, the emphasis shifts toward strong authentication, session control, and user lifecycle management. Machine Identity, PKI and Certificate Lifecycle Guide is the better model when certificate-based trust is central.
Risk and Threat Considerations
Machine identities often carry persistent, reusable trust, which makes them attractive to attackers and dangerous to defenders when they are left unmanaged. The main risk is not just unauthorized use, it is that one forgotten secret or overbroad token can outlive the system that originally needed it and remain valid across deployments, environments, or integrations.
Failure mechanism: Credentials, certificates, or tokens are not rotated, are reused across systems, or are left attached to retired workloads, allowing compromise of the machine identity to persist after the original business need has changed.
Impact: Attackers can move laterally, access connected services, or harvest downstream secrets and data, while the organisation loses clear ownership and cannot confidently revoke the access path without breaking production.
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 and risk surface, while NIST SP 800-53 Rev 5 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 — Improper Offboarding | Machine identities need retirement when workloads end or change. |
| NHI-02 — Secret Leakage | Machine identities rely on secrets and tokens that must be protected. | |
| NHI-05 — Overprivileged NHI | Machine identities often accumulate privileges beyond current workload need. | |
| Recommendation — Tie non-human identity retirement to workload decommissioning and revoke abandoned access paths promptly. Store and rotate machine secrets so exposed credentials cannot be reused. Reduce machine identity permissions to the minimum access the workload actually needs. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Machine identities depend on secret and credential lifecycle control. |
| AC-6 — Least Privilege | Machine accounts should be scoped to workload needs, not user-like roles. | |
| IA-9 — Service Identification and Authentication | Service-to-service trust is central to machine identity governance. | |
| Recommendation — Manage issuance, renewal, rotation, and revocation for machine authenticators. Limit machine account privileges to the specific functions the workload requires. Authenticate services with workload-appropriate mechanisms rather than human login patterns. | ||
| NIST Zero Trust (SP 800-207) | ZT-NIST-207 — Zero Trust Architecture | Machine and human identities both need explicit verification and least privilege. |
| Recommendation — Apply explicit verification and least-privilege access decisions to machine-to-machine trust. | ||
Practitioner Guidance
What to verify: Confirm that every non-human credential has an accountable technical owner, a declared runtime dependency, and a documented expiry or renewal mechanism. If you cannot identify the workload that uses the credential, treat that as a governance defect, not a documentation gap.
Decision rule: If the identity authenticates software rather than a person, govern it through workload lifecycle, secret lifecycle, and service ownership. If it authenticates a person, keep it in the human access process; do not force one review model to cover both.
Common mistake: Teams often reuse user-account controls for machine access because the same IAM platform can technically issue both. That shortcut misses the operational reality that machine identities need change coordination, dependency awareness, and faster revocation paths than human accounts.
What good looks like: Every machine identity has named ownership, short-lived or tightly rotated credentials where feasible, and a visible link to the service it protects. Human and machine paths may share policy principles, but they should not share the same governance assumptions.
Practitioner takeaway: Treat machine identities as production dependencies first and accounts second, because their risk is defined by service continuity and secret lifecycle, not by the calendar of a person.
Related resources from NHI Mgmt Group
- Should organisations treat non-human identities differently from human users in governance?
- What do organisations get wrong when they treat human, machine, and AI identities the same?
- What is the first step in managing non-human identities at scale?
- What is the difference between managing human identities and non-human identities?