What breaks when organisations try to clean up sprawl one category at a time?

Why This Matters for Security Teams

Category-by-category cleanup sounds manageable because it creates a clear work queue, but sprawl is usually produced by the same living system that keeps generating new identities, groups, tools, and data paths. If the organisation only remediates the visible category, the source event keeps creating fresh exceptions elsewhere. That is why NHI remediation, access review, and data cleanup often feel successful for a short period and then regress.

This is especially dangerous in environments with many service accounts, API keys, and automation workflows. NHI Mgmt Group reports that only 5.7% of organisations have full visibility into their service accounts, and the Ultimate Guide to NHIs — Key Challenges and Risks shows how quickly hidden identity sprawl becomes an attack surface problem. The same pattern appears in broader security governance: the NIST Cybersecurity Framework 2.0 emphasizes continuous, risk-based governance rather than one-time cleanup campaigns. In practice, many security teams encounter the next wave of “duplicate” accounts, groups, or secrets only after the first remediation run has already been closed out.

How It Works in Practice

When organisations try to clean up sprawl one category at a time, they usually start with whatever is easiest to measure: a service account list, an access review export, a set of stale groups, or a data classification report. Each cleanup reduces noise in that single inventory, but it does not change the upstream process that created the sprawl. If new apps can still be onboarded without identity standards, new groups will be created around them. If secrets are still minted ad hoc in CI/CD, remediation on the old vault entries will not prevent the next leak.

The practical fix is to connect discovery, ownership, and enforcement across categories. That means identifying the workload, the application, the secret, and the data store as one operating chain rather than separate cleanup tickets. It also means setting controls that stop re-creation, not just deletion. For example:

• Discover hidden apps before rationalising identities so that remediation does not recreate shadow accounts around unseen systems.
• Bind each non-human identity to a clear owner, purpose, and expiry so stale objects cannot return after review.
• Use policy-based access decisions to prevent redundant groups from reappearing in the next onboarding cycle.
• Track secrets and service accounts together, because credential sprawl often survives even after account cleanup.

The same principle appears in NHI guidance: the Ultimate Guide to NHIs — Key Challenges and Risks ties visibility gaps to recurring exposure, while NIST CSF 2.0 reinforces that governance must be continuous, not episodic. These controls tend to break down when inventories are fragmented across SaaS, cloud, and CI/CD because no single team sees the full creation path.

Common Variations and Edge Cases

Tighter cleanup often increases operational overhead, requiring organisations to balance short-term remediation speed against the cost of broader discovery and control redesign. That tradeoff becomes more visible in highly distributed environments, where different teams own different parts of the sprawl and no one category contains enough context to explain the problem.

There is no universal standard for this yet, but current guidance suggests that some categories should be treated as symptoms rather than targets. For instance, removing duplicate groups without app discovery usually just shifts the duplication to a new naming convention. Cleaning identity records without revoking the underlying issuance process leaves the root cause untouched. Likewise, data classification projects often lag because the actual storage locations are not aligned with the catalogue.

The most common edge case is a cleanup that succeeds technically but fails operationally: the old objects are removed, but teams continue creating new ones because the workflow incentives did not change. That is why the Ultimate Guide to NHIs — Key Challenges and Risks is useful as a reference point for visibility and lifecycle discipline, while NIST CSF 2.0 remains the better model for ongoing governance. The real risk is not incomplete cleanup, but a cleanup program that normalises recurring drift as if it were success.

Related resources from NHI Mgmt Group

• When do NHI access reviews create more value than a one-time cleanup?
• How do organisations reduce the dwell time of exposed credentials at scale?
• What breaks when identity teams try to clean up Active Directory without dependency mapping?
• What breaks when organisations adopt AI before cleaning up identity and data sprawl?