Because they are created fast, used silently, and often left in place after the original task ends. That combination makes them a persistence problem as much as an access problem. If lifecycle and privilege review do not include NHIs, the trust model will drift even when authentication controls look healthy.
Why This Matters for Security Teams
Non-human identities weaken trust programmes because they multiply faster than human accounts, operate without direct human oversight, and often survive long after the task that created them has ended. That breaks the basic assumption behind most trust programmes: that identities are known, reviewed, and tied to an accountable owner. NIST guidance on identity and trust management is useful here, especially the NIST Cybersecurity Framework 2.0, but NHIs add a scale and persistence problem that traditional reviews miss.
NHI Management Group research shows the issue is not theoretical: only 5.7% of organisations have full visibility into their service accounts, and 97% of NHIs carry excessive privileges. When trust programmes do not include service accounts, API keys, workload tokens, and automation identities, the organisation may still pass authentication checks while its effective attack surface quietly expands. Similar patterns appear in JetBrains GitHub plugin token exposure and other software supply chain incidents, where secrets and tokens persist beyond their intended scope.
In practice, many security teams discover NHI drift only after a token leak, a dormant service account, or an over-permissioned pipeline has already been used to move laterally.
How It Works in Practice
Trust programmes usually degrade when they are built around human identity assumptions: login events are visible, access is reviewed periodically, and someone can attest to business need. NHIs do not behave that way. They are often created by CI/CD systems, cloud services, scripts, integrations, and AI agents, then reused automatically and left in place because nobody owns their retirement. That is why the control objective is not just authentication, but lifecycle governance, expiry, and privilege containment.
Current practice is to treat each NHI as a workload identity with a named purpose, short lifetime, and explicit scope. In mature environments, that means pairing discovery with policy enforcement, so every service account, token, or certificate can be mapped to an owner, a workload, and a revocation path. Where possible, teams replace static secrets with short-lived credentials and rotate them automatically. This aligns with broader Zero Trust thinking and with guidance in the Ultimate Guide to Non-Human Identities, which emphasises visibility, offboarding, and rotation as core trust controls.
- Inventory NHIs continuously, including orphaned service accounts and embedded API keys.
- Assign each identity an owner, purpose, and expiry date.
- Prefer ephemeral tokens over long-lived static credentials.
- Revoke credentials automatically when the workload ends or changes.
- Review effective privileges, not just account existence.
For implementation detail, teams often use secrets managers, workload identity federation, and policy enforcement to prevent credentials from becoming persistent trust anchors. Guidance from Code Formatting Tools Credential Leaks is a reminder that secrets often escape through ordinary engineering workflows, not just dedicated attack paths. These controls tend to break down in highly automated environments with weak ownership boundaries because identities are created faster than review and revocation processes can keep up.
Common Variations and Edge Cases
Tighter NHI control often increases operational overhead, requiring organisations to balance speed of automation against the cost of continuous inventory, rotation, and revocation. That tradeoff is real in DevOps, data pipelines, and distributed SaaS integrations, where frequent token renewal can interrupt fragile workflows. Best practice is evolving, and there is no universal standard for every environment, but the direction is clear: long-lived shared secrets weaken trust faster than ephemeral, purpose-bound credentials.
Edge cases usually appear where a workload spans multiple teams or vendors, or where service accounts are embedded in legacy applications that cannot tolerate frequent rotation. In those cases, partial containment is better than denial: limit blast radius with segmentation, narrow scopes, and compensating monitoring while a migration path is built. The same logic applies to third-party automation and browser-based developer tooling, where hidden credentials can persist outside the normal trust perimeter. The Hard-Coded Secrets in VSCode Extensions research shows how quickly trust erodes when secrets are embedded in tools rather than governed as identities.
For trust programmes, the practical lesson is simple: if NHIs are excluded from lifecycle review, the programme will look healthy on paper while access risk accumulates underneath.
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, OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Credential rotation is central to preventing NHI persistence and trust drift. |
| OWASP Agentic AI Top 10 | A1 | Autonomous identities can outgrow static trust assumptions and need runtime controls. |
| CSA MAESTRO | KDR-1 | MAESTRO addresses lifecycle and governance for machine and agent identities. |
| NIST AI RMF | AI RMF governance helps manage identity risk from autonomous and adaptive systems. | |
| NIST CSF 2.0 | PR.AC-4 | Least privilege and access management are directly affected by excessive NHI permissions. |
Establish accountability and monitoring for identities used by AI-enabled workloads.