They struggle because machine identities are created across too many systems, including code, pipelines, and integrations, and because ownership is often unclear. Sprawl grows when discovery is incomplete and offboarding is manual, so the organisation loses track of what still exists and what still has access.
Why This Matters for Security Teams
Non-human identity sprawl is not just a hygiene issue. It is a control failure that weakens least privilege, obscures ownership, and makes offboarding unreliable. In modern estates, NHIs can be created by code, CI/CD pipelines, integrations, and SaaS automation faster than security teams can inventory them. NHI Mgmt Group research shows that only 5.7% of organisations have full visibility into their service accounts, which explains why teams often discover exposure after a breach review rather than during routine governance. See the Ultimate Guide to NHIs and the NIST Cybersecurity Framework 2.0 for the visibility and governance expectations that reduce this blind spot.
The core challenge is that machine identities do not map neatly to human lifecycle processes. They are often created implicitly, inherit broad access by default, and persist after the workload that needed them has changed. That creates a backlog of stale accounts, unused keys, and secrets that remain valid long after the original need has passed. For practitioners, the issue is not merely counting identities. It is proving which ones are still legitimate, who owns them, and whether they are still capable of reaching production systems. In practice, many security teams encounter NHI sprawl only after an incident review has already exposed the missing ownership model.
How It Works in Practice
Organisations struggle to reduce sprawl because the lifecycle is fragmented across engineering, platform, and security teams. A service account may be created in a cloud console, a token may be embedded in a pipeline, and a secret may be copied into a collaboration tool. By the time discovery runs, the identity graph is incomplete. That is why NHI hygiene must combine discovery, classification, ownership, and revocation instead of relying on one-off audits. The Top 10 NHI Issues and Ultimate Guide to NHIs — Key Challenges and Risks both show how quickly overprivilege and secrets drift become operational debt.
In practice, effective programmes separate the question of NIST Cybersecurity Framework 2.0 governance from the technical mechanics. Teams should:
- discover NHIs continuously across code, CI/CD, cloud, and SaaS integrations;
- assign an accountable owner for every identity and secret;
- apply role-based access control only where the workload has stable patterns;
- prefer just-in-time credentials and short-lived secrets for automated tasks;
- remove or rotate credentials immediately when the workload is retired or replaced.
Current guidance suggests pairing this with policy-driven approval and automated revocation, because manual offboarding does not scale once machine identities begin to outnumber people by orders of magnitude. The 52 NHI Breaches Analysis is a useful reminder that the same patterns repeat: stale access, missing ownership, and secrets left active after teams assume they have been removed. These controls tend to break down when identities are spawned dynamically inside ephemeral pipelines because there is no stable system of record to reconcile against.
Common Variations and Edge Cases
Tighter identity control often increases operational overhead, so organisations must balance security gains against developer friction and pipeline latency. That tradeoff is real, especially in environments with many short-lived workloads, third-party connectors, or legacy automation that was never designed for identity governance.
There is no universal standard for every edge case yet, but several patterns recur. Long-lived service accounts are common in legacy estates because they are easy to adopt and hard to replace. Third-party integrations can also create sprawl because ownership sits outside the enterprise and revocation depends on vendors or partners. In agentic and autonomous systems, the problem becomes more acute because an Ultimate Guide to NHIs — What are Non-Human Identities lens is not enough on its own; goal-driven agents need workload identity, runtime authorisation, and ephemeral secrets that are issued per task, not per team. That aligns with emerging practice in NIST Cybersecurity Framework 2.0 while also reflecting the current guidance in agent security programs. The practical constraint is that highly dynamic environments make RBAC snapshots stale quickly, so organisations need continuous policy evaluation and stricter expiry defaults to avoid recreating sprawl in a new form.
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 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 | Addresses stale NHI credentials and weak lifecycle control. |
| NIST CSF 2.0 | PR.AC-4 | Supports least-privilege access governance for machine identities. |
| NIST AI RMF | Relevant where autonomous agents create dynamic, hard-to-predict access needs. |
Map each NHI to an owner and enforce least privilege through continuous access review.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on May 31, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
