Start with complete discovery, then classify each non-human identity by access, exposure, and business criticality. Prioritise identities with admin rights, external connections, or unusual activity. Add automated rotation, monitoring, and policy enforcement so the programme scales as systems change. A central view matters because fragmented controls miss weak points and create blind spots that attackers can exploit.
Why This Matters for Security Teams
When identities are distributed across cloud services, application code, CI/CD pipelines, and third-party integrations, the NHI problem is no longer just credential hygiene. It becomes an exposure-management problem shaped by hidden trust paths, stale secrets, and inconsistent ownership. The 2024 Non-Human Identity Security Report found that 88.5% of organisations say their NHI practices lag human IAM or are only on par with it, which is a strong sign that many programmes still treat machine identities as an afterthought.
The risk is not theoretical. Attackers routinely target secrets in code, OAuth grants, service accounts, and vendor connections because those paths often bypass the controls applied to human users. Guidance from the OWASP Non-Human Identity Top 10 and 52 NHI Breaches Analysis shows that fragmented ownership and weak rotation are recurring failure points, especially when security teams cannot answer where an identity exists, who depends on it, and whether it is still needed. In practice, many security teams discover the weakest NHI only after a leaked secret or vendor compromise has already created a live path into production.
How It Works in Practice
A workable NHI programme starts with inventory, but not just a list of usernames and tokens. Security teams need to map each identity to its runtime context: where it is used, what it can reach, whether it is human-created or code-generated, and whether it connects externally. That includes cloud IAM roles, workload identities, API keys, bot accounts, SaaS OAuth grants, certificates, and secrets embedded in pipelines or repositories.
From there, classification should drive control depth. High-risk identities are usually the ones with admin reach, broad lateral movement potential, or third-party dependencies. These should move first into rotation, monitoring, and policy enforcement. For most environments, the practical baseline is: short-lived credentials where possible, automated secret rotation where not, and alerting on abnormal use such as new geographies, unusual call volume, or access outside approved workflows. NIST control families in NIST SP 800-53 Rev. 5 Security and Privacy Controls remain useful here because they translate the programme into access control, audit, and configuration expectations.
For cloud-native identities, workload identity should become the preferred primitive rather than a long-lived shared secret. That means binding access to the workload itself, then enforcing least privilege through policy-as-code so permissions can be evaluated at request time instead of being frozen into a static role. The operational goal is to make every identity discoverable, attributable, and revocable. The underlying pattern is reinforced in NHIMG’s Ultimate Guide to NHIs, which frames discovery and governance as a continuous discipline rather than a one-time project. These controls tend to break down when identities are created ad hoc by developers without central registration because ownership, rotation, and revocation all become unreliable.
Common Variations and Edge Cases
Tighter control often increases operational overhead, so organisations need to balance fast delivery against the cost of continuous governance. That tradeoff is especially visible in environments with heavy third-party integration, ephemeral workloads, or multiple cloud estates.
One common edge case is vendor-managed access through OAuth apps and delegated tokens. Visibility is often incomplete, and current guidance suggests treating these connections as first-class NHIs rather than “just integrations.” Another is infrastructure that cannot tolerate aggressive rotation because embedded systems, legacy schedulers, or third-party APIs still depend on long-lived credentials. In those cases, best practice is evolving, but compensating controls such as tighter scope, stronger monitoring, and exception expiry dates are still necessary.
Security teams should also be careful not to assume every machine identity deserves the same treatment. A read-only reporting token, a production deployment role, and a cross-account admin credential belong in very different control tiers. The Top 10 NHI Issues research and the OWASP Non-Human Identity Top 10 both point to the same practical lesson: a mature programme is not just about reducing secrets, but about making ownership, privilege, and exposure visible enough to govern continuously. There is no universal standard for this yet, so maturity depends on how well the programme adapts as code, cloud, and vendor trust paths change.
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-03 | Rotation and secret hygiene are core when NHI sprawl spans cloud, code, and vendors. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access is essential for machine identities with broad runtime reach. |
| NIST SP 800-63 | Digital identity assurance helps distinguish stronger workload identity from weak shared secrets. | |
| NIST Zero Trust (SP 800-207) | PA-3 | Zero trust requires continuous verification of identity and context for every machine request. |
| NIST AI RMF | Governance and measurement help keep NHI controls aligned as systems and trust paths change. |
Inventory each NHI, then rotate high-risk credentials on a fixed schedule and on every ownership change.
Related resources from NHI Mgmt Group
- How should security teams prioritise NHI remediation in cloud environments?
- How should security teams govern non-human identities in cloud environments?
- How should security teams make NHI best practices usable across the business?
- How should security teams implement a third-party risk management policy across SaaS, cloud, and AI tools?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
