Look for the point where a growing share of next year’s budget is spent keeping existing connectors alive instead of extending governance to new applications. Stale syncs, repeated rework, and delayed onboarding are early signals that the programme is sustaining itself rather than expanding coverage.
Why This Matters for Security Teams
identity governance turns into a treadmill when the programme spends more effort preserving yesterday’s access paths than reducing tomorrow’s risk. That usually shows up as connector maintenance, exception handling, and manual reconciliations consuming the roadmap. NIST Cybersecurity Framework 2.0 frames governance as an ongoing function, not a one-time rollout, and that distinction matters when teams are judged by coverage growth rather than tool uptime. For NHI-heavy environments, the problem is sharper because machine identities multiply faster than humans and are often tied to application release cycles, not annual reviews. NHI Management Group’s Ultimate Guide to NHIs shows how quickly unmanaged scale erodes visibility and rotation discipline. In practice, many security teams notice the treadmill only after onboarding delays, sync failures, and audit exceptions become the norm rather than the outlier.
Once that happens, governance stops expanding coverage and starts defending its own technical debt. The team is still busy, but the measurable security gain per quarter falls. That is the clearest sign the programme is sustaining itself instead of maturing.
How It Works in Practice
A healthy governance programme should make each new application easier to bring under control, not harder. When the effort required to onboard a new SaaS app, service account, or API key increases every quarter, the operating model is usually too dependent on brittle connectors, custom scripts, and manual exception workflows. Current guidance suggests treating identity governance as a lifecycle control problem, not just an entitlement review problem. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful here because it emphasizes provisioning, rotation, offboarding, and visibility as a continuous system.
Operationally, the treadmill test is simple: compare the effort spent on maintenance versus expansion. Warning signs include:
- More engineering time spent fixing sync jobs than onboarding new systems.
- Repeated rework for the same directory, vault, or SaaS connector.
- Delayed offboarding because revocation logic is embedded in scripts no one owns.
- Audit evidence assembled manually because the governance platform cannot prove state reliably.
External benchmarks help validate the signal. NIST CSF 2.0 expects governance to support risk management continuously, not episodically, while NHI research from Top 10 NHI Issues shows how quickly visibility and lifecycle gaps compound when secrets and service accounts are left to accumulate. A programme that cannot onboard new sources without another round of custom code is already trading strategic progress for operational survival. These controls tend to break down in hybrid estates with legacy directories, multiple IAM masters, and tightly coupled CI/CD pipelines because every change creates another fragile exception path.
Common Variations and Edge Cases
Tighter governance often increases short-term friction, so organisations have to balance speed of integration against long-term maintainability. Not every rising backlog means the programme is failing; in some cases, the first year of rationalisation looks slower because duplicate connectors are being retired and ownership models are being cleaned up. That said, current guidance suggests a real treadmill appears when the backlog grows faster than the reduction in manual work, not when temporary cleanup effort spikes.
Edge cases matter. A highly regulated business may accept slower onboarding if the governance platform produces stronger audit evidence and cleaner revocation. A fast-moving engineering organisation may tolerate fewer control checkpoints if it can enforce policy through automated pipelines and short-lived credentials. The issue is not cadence alone. It is whether each additional control reduces future operational load.
If the governance team cannot explain why next year’s maintenance budget buys more coverage than this year’s, the model is drifting into self-preservation. For a practical lens on how identity sprawl becomes security debt, compare the broader lifecycle framing in the Ultimate Guide to NHIs — Regulatory and Audit Perspectives with the breach patterns described in the 52 NHI Breaches Analysis. Where identity governance is becoming a treadmill, the organisation is still moving, but coverage, resilience, and auditability are no longer improving at the same pace.
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 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0, NIST AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC | Governance drift is visible when identity work stops improving outcomes. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Stale connectors and weak lifecycle control are classic NHI failure patterns. |
| CSA MAESTRO | GOV | Agentic and machine identity governance depends on continuous operational oversight. |
| NIST AI RMF | GOVERN | A treadmill signal shows governance is not keeping pace with system complexity. |
| NIST Zero Trust (SP 800-207) | SC-7 | Identity sprawl undermines zero trust when access paths become unmanaged and sticky. |
Measure NHI onboarding, rotation, and revocation work against lifecycle ownership and automation.
