A single approval queue often becomes a bottleneck because it lacks the context needed for every tool, project, or dataset. Requests slow down, users work around controls, and security teams end up making decisions with incomplete knowledge. Decentralized ownership usually works better when reviewers understand the resource, its risk, and the business need.
Why This Matters for Security Teams
When every access request is forced through one central queue, the problem is not just delay. The real failure is context collapse: the reviewer rarely knows the dataset sensitivity, the tool chain, the operational urgency, or the identity posture of the requesting workload. That makes approval decisions slower and less accurate, especially for NHIs, where access is often machine-to-machine and event-driven rather than human and predictable. Current guidance from the OWASP Non-Human Identity Top 10 and NIST control thinking both points toward least privilege and timely review, not one-size-fits-all centralisation.
This is why the issue shows up so often in NHI programs. NHIs outnumber human identities by 25x to 50x in modern enterprises, and only 5.7% of organisations say they have full visibility into their service accounts, according to Ultimate Guide to NHIs from NHI Management Group. In that environment, a central security team becomes a triage function, not a resource owner. In practice, many security teams encounter shadow approvals and over-broad exceptions only after work has already been delayed or bypassed entirely.
How It Works in Practice
Decentralized ownership works better because the people closest to the resource can make faster, more precise decisions. A data platform owner understands which service account needs read-only access to which warehouse. A product team understands whether an agent needs short-lived access for a single workflow or recurring access for a production integration. Security’s job is to define guardrails, not to manually adjudicate every request.
In mature environments, central security sets policy while delegated approvers handle operational decisions inside those boundaries. That usually means:
- pre-approved access patterns for common tools, datasets, and environments
- time-bound approvals for temporary access, especially for NHIs and agents
- role or attribute checks at the resource owner level, not just at the ticketing layer
- automated logging and periodic review so exceptions remain visible
This aligns with NIST SP 800-53 Rev 5 Security and Privacy Controls, which emphasizes access control, separation of duties, and reviewable authorization processes. For NHI-specific risk patterns, 52 NHI Breaches Analysis shows how delays and ownership gaps often lead to over-privileged accounts, stale secrets, and ad hoc exceptions. Central teams should therefore focus on policy, exception thresholds, and escalation paths, while resource owners approve routine access within a defined model. These controls tend to break down when access spans many business units and the approving team has no reliable inventory of the underlying NHIs, because reviewers cannot validate risk without resource-level context.
Common Variations and Edge Cases
Tighter central approval often increases governance consistency, requiring organisations to balance standardisation against operational speed. That tradeoff is real, especially in regulated environments or during high-risk incidents when security may need to temporarily centralize control. Best practice is evolving, but the current consensus is that centralisation should apply to policy design and escalation, not to every day-to-day access decision.
Some requests still belong with a central team: privileged production access, cross-domain data movement, emergency break-glass actions, and exceptions involving sensitive secrets or third-party integrations. In those cases, the central function should approve only the small set of requests that exceed predefined thresholds, while resource owners handle routine access. This is particularly important for NHI workflows because automation often needs short-lived, task-specific permissions that do not fit a slow ticket queue. Guidance from the Ultimate Guide to NHIs — Key Challenges and Risks shows that long-lived credentials and excess privilege are persistent failure modes, so access routing should reduce both. The right model is distributed decision-making under central policy, not a universal approval bottleneck.
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 AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-04 | Central queues often miss NHI ownership and approval boundaries. |
| NIST CSF 2.0 | PR.AC-4 | Access approvals should reflect least privilege and role separation. |
| NIST SP 800-63 | Identity assurance matters when requests are routed through shared approval paths. | |
| NIST AI RMF | GOVERN | Governance must define who can authorize autonomous or machine-driven access. |
| NIST Zero Trust (SP 800-207) | 3.1 | Centralized approval bottlenecks conflict with context-aware, resource-level access. |
Move authorization decisions closer to the resource with continuous, context-aware policy checks.
Related resources from NHI Mgmt Group
- What breaks when access is managed only through centralized identity provider groups?
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- When do NHI access reviews create more value than a one-time cleanup?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org