Security teams should centralise identity policies, inventory all identity types, and connect access decisions to a unified data model. The goal is to see who and what has access, to which systems, data, and resources, and to enforce consistent controls across the enterprise. Without that visibility, teams struggle to respond quickly, defend decisions, and prove risk management to executives and regulators.
Why This Matters for Security Teams
Unifying human and non-human identity controls is no longer just an IAM clean-up exercise. In complex enterprises, service accounts, API keys, OAuth apps, and autonomous agents often outnumber human users and move faster than manual review cycles can handle. That creates a single risk surface where privilege sprawl, weak rotation, and incomplete visibility reinforce each other. NHI Management Group notes that NHIs can outnumber human identities by 25x to 50x in modern enterprises in its Ultimate Guide to NHIs.
The practical challenge is not whether both identity types matter. It is whether security teams can enforce consistent policy while still recognising that machines, workloads, and agents behave differently from people. Human identity governance can rely on sessions, devices, and user prompts. Non-human access often depends on secrets, API tokens, delegated scopes, and workload credentials that are embedded in code, pipelines, and integrations. OWASP’s OWASP Non-Human Identity Top 10 is clear that these patterns create distinct failure modes, not just a scaled-up version of human IAM.
In practice, many security teams discover the gap only after a leaked token, over-privileged integration, or opaque third-party connection has already expanded access beyond what their human-centric controls were designed to detect.
How It Works in Practice
The most durable approach is to build one identity control plane with policy consistency across all subjects, then apply subject-specific enforcement underneath it. That means a shared inventory, a shared entitlement model, and a shared decision layer, while still distinguishing between people, workloads, service accounts, and agents at enforcement time. NIST SP 800-53 Rev. 5 provides the control language for access governance, but teams need to translate that language into a unified operational model for both human and non-human identities.
Practically, this usually starts with three layers:
- A unified identity inventory that maps each subject to owner, purpose, system scope, and data access.
- Central policy definitions for authentication strength, least privilege, rotation, session duration, and revocation triggers.
- Separate credential and lifecycle mechanics for humans versus workloads, so the same policy can be enforced through different technical paths.
For humans, that often means SSO, MFA, conditional access, and role reviews. For non-human access, it means short-lived secrets, workload identity, vault-backed issuance, and tightly scoped tokens with automated expiry. The objective is not to make a service account behave like a person, but to make both visible to the same governance model. That is why the State of Non-Human Identity Security is so relevant: it highlights that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which is exactly where unified visibility breaks down.
Current guidance suggests using one reporting layer for access review, risk scoring, and audit evidence, even when execution differs by identity type. This lets security teams show who or what has access, why it exists, who approved it, and when it expires. These controls tend to break down in environments with heavy DevOps automation and shadow integrations because identity creation happens faster than governance approvals can keep up.
Common Variations and Edge Cases
Tighter identity unification often increases operational overhead, requiring organisations to balance stronger governance against developer velocity and integration complexity. That tradeoff is especially visible in hybrid estates, where legacy applications still rely on shared service accounts while newer platforms use federated workload identities and ephemeral credentials.
There is no universal standard for resolving every edge case yet, so best practice is evolving. A common mistake is forcing all non-human identities into human-style joiner-mover-leaver workflows. That usually fails for CI/CD systems, API-to-API trust, and third-party SaaS integrations because those identities are created and consumed by machines, not employees. Another common gap is assuming one IAM platform can solve inventory, governance, secrets management, and runtime authorisation without integration work.
Security teams should treat exceptions explicitly: break-glass accounts, vendor-managed connectors, embedded credentials in legacy code, and autonomous agents with tool access often need separate controls but still belong in the same governance dataset. The strongest programmes tie these exceptions back to the same questions: who approved it, what it can reach, how long it lasts, and what evidence exists that it was reviewed. The NHIMG Key Challenges and Risks section and the 52 NHI Breaches Analysis both show that visibility gaps and over-privilege repeatedly turn small control failures into enterprise incidents.
In practice, unified identity control succeeds only when teams accept that consistent governance does not mean identical enforcement, especially where legacy systems and ephemeral machine identities coexist.
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 NIST CSF 2.0, NIST SP 800-63, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Unified inventory and visibility are core to reducing NHI sprawl. |
| NIST CSF 2.0 | PR.AA | Identity management across humans and machines maps to authentication and access control. |
| NIST SP 800-63 | Digital identity assurance helps separate human identity proofing from workload identity. | |
| NIST Zero Trust (SP 800-207) | Zero Trust supports continuous verification across all identities and sessions. | |
| NIST AI RMF | GOVERN | Unified identity governance needs clear accountability and lifecycle ownership. |
Create one authoritative inventory for all NHIs and tie each to an owner, purpose, and expiry.
Related resources from NHI Mgmt Group
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- How should security teams govern non-human identities in cloud environments?
- How should security teams migrate identity governance from on premises platforms to cloud based identity security without disrupting access controls?
