They should use one governance model for both populations, with a single identity source of truth, lifecycle rules, and approval logic that cover users, contractors, service accounts, and other NHI. The goal is to make access changes and reviews comparable across identity types instead of running separate control processes that drift apart.
How to structure one IGA model for both human and non-human identities
Public-sector IGA works best when it treats people and machines as one governed population, not as separate programmes with different rules. The practical design choice is a single control plane for identity source, entitlement management, approval workflows, recertification, and deprovisioning, while still allowing different attributes and business rules by identity type.
That structure matters because mixed estates tend to fail when service accounts, scripts, integrations, and contractors are managed in parallel silos. A unified model makes it easier to compare access risk, enforce ownership, and prove that every identity has a lifecycle, an approver, and a review path.
The core question is not whether humans and non-humans behave identically, but whether the organisation can govern them consistently. A common source of truth, paired with type-aware policy, lets teams apply the same principles of birthright access, exception handling, and access removal without forcing the same workflow on every identity.
What should be common, and what should stay different?
Use one authoritative identity inventory, one entitlement catalogue, and one policy model for joiner, mover, and leaver events. The common layer should answer who or what owns the identity, what it can access, why it exists, when it was last reviewed, and what evidence supports that access.
Keep the decision logic consistent, but not identical. A human user may require manager approval and periodic recertification, while a service account may require application ownership, technical approver sign-off, and shorter secret rotation intervals. The point is to standardise the governance pattern, not to flatten all identity classes into one template.
This is where a platform such as IAM and IGA Basics is useful, because it frames access governance as a single model spanning authentication, authorisation, provisioning, and entitlement control across people and machines. For lifecycle execution, the Joiner-Mover-Leaver (JML) Guide shows why offboarding, role changes, and orphaned access should be handled through the same governance backbone.
How do reviews and approvals stay comparable across identity types?
Comparable reviews start with comparable data. Each identity record should expose a business owner, technical owner, purpose, environment, last-used date, and privilege scope so reviewers can judge risk without guessing whether they are looking at a person or a bot.
Approvals should also be normalised around business risk rather than identity type. If a contractor, analyst, integration, and automation all request access to the same sensitive system, the review should surface the same entitlement facts, only with type-specific approvers and evidence fields. That is what prevents separate processes from drifting into different standards of scrutiny.
For review design, Access Reviews and Certification Guide is a strong fit because it focuses on review quality, risk-based context, and closing the loop after certification. For structural policy design, Role Mining and Role Design Guide helps teams avoid a role model that works for employees but breaks down for service identities and agents.
Risk and Threat Considerations
Mixed identity estates create risk when the organisation runs different control standards for different identity classes. That gap can leave stale service accounts, overprivileged automations, or unreviewed contractor access outside the same governance discipline used for workforce users.
Failure mechanism: Separate processes often produce inconsistent ownership, weaker review evidence, and slower revocation for non-human identities, which makes it easier for excess privilege or forgotten access paths to persist.
Impact: The result is larger blast radius, weaker auditability, and a higher chance that one compromised or neglected identity can reach systems that the organisation believes are tightly controlled.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Mixed human and non-human IGA depends on credential lifecycle control. |
| AC-2 — Account Management | Unified IGA requires one lifecycle model for user, contractor, and service accounts. | |
| AC-6 — Least Privilege | Comparable reviews must assess whether each identity has only the access it needs. | |
| Recommendation — Manage and rotate authenticators centrally for every identity type. Govern all accounts through one authoritative lifecycle process. Limit each identity to the minimum access needed for its role. | ||
| ISO/IEC 27001:2022 | A.5.15 — Access control | A single access governance model is central to mixed-identity administration. |
| A.5.18 — Access rights | Reviewing and revoking rights across identity types is the core governance task here. | |
| A.5.16 — Identity management | The question is about governing a mixed identity population with one source of truth. | |
| Recommendation — Define one access control policy that covers human and non-human identities. Review and revoke access rights on a consistent schedule across all identity classes. Maintain one identity management model for users, contractors, and non-human identities. | ||
| CIS Controls v8 | CIS-5 — Account Management | CIS account management directly supports unified lifecycle control and review. |
| CIS-6 — Access Control Management | Access governance for mixed identities requires consistent authorization and review rules. | |
| Recommendation — Centralise account inventory, approvals, and removal across all identities. Apply consistent access control rules and periodic review to every identity type. | ||
Practitioner Guidance
What to prioritise: Start by building one inventory and one entitlement model before debating workflow differences. If you cannot answer who owns an identity, what it can do, and when it was last reviewed from the same record structure, the programme is not yet unified.
What to verify: Check that every identity type, including service accounts, API consumers, and contractors, maps to the same lifecycle milestones: creation, change, review, suspension, and removal. The approval path can differ, but the control evidence should be comparable.
Practitioner takeaway: Mixed IGA succeeds when governance is shared and policy is type-aware, because consistency in records and reviews matters more than forcing humans and non-humans through identical workflows.
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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