Start by identifying every application that still depends on manual provisioning or bespoke handling, then rank them by business criticality and access risk. The goal is not to automate everything at once. It is to widen governed coverage steadily while reducing the number of identities that sit outside JML and access review processes.
Why This Matters for Security Teams
Application coverage gaps are not just an IGA hygiene problem. In large estates, every unmanaged application becomes a parallel access path that bypasses joiner, mover, leaver controls, access reviews, and segregation-of-duties checks. That creates blind spots for privilege creep, orphaned access, and audit failure, especially where service accounts and shared accounts are still handled outside the normal workflow. Current guidance from NIST Cybersecurity Framework 2.0 aligns coverage with governance outcomes rather than tool deployment alone.
This is also where NHI risk starts to overlap with application governance. NHIMG’s Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which is a strong signal that coverage gaps often hide identities, not just applications. In practice, many security teams discover the problem only after an audit finding, a merger, or a privileged access incident has already exposed the missing app.
How It Works in Practice
Closing the gap starts with a complete inventory of applications that sit outside the IGA control plane, including legacy systems, internally built tools, SaaS platforms, partner portals, and one-off business applications. The practical question is not whether the application is technically manageable, but whether it can be brought under a governed lifecycle with defensible effort.
A useful approach is to segment applications into tiers:
- High-risk apps: privileged access, regulated data, production controls, or broad user populations.
- Medium-risk apps: meaningful business use, but limited privilege and stable ownership.
- Low-risk apps: niche tools with little sensitive access or low user volume.
Then connect the highest-value gaps first. That usually means integrating authoritative sources such as HR, CMDB, cloud inventories, or directory data, then applying the minimum viable control set: JML triggers, access request workflows, periodic recertification, and owner attestation. The aim is to avoid a perfect-model trap and instead create a repeatable path for onboarding applications into governance.
For applications that cannot be directly integrated, current practice is to use compensating controls: managed spreadsheets only as temporary bridge records, manual approvals with explicit ownership, and reconciliations to detect drift. The governance objective is still coverage, even if the control mechanism is initially semi-manual. NHIMG’s Ultimate Guide to NHIs is useful here because many of the same control failures show up when service accounts, API keys, and application credentials are left outside formal lifecycle processes.
When coverage expansion is working, the backlog becomes a managed queue with risk-ranked remediation, not an endless inventory exercise. These controls tend to break down when application ownership is unclear and there is no dependable source of truth for who can approve access or accept residual risk.
Common Variations and Edge Cases
Tighter coverage controls often increase operational overhead, so organisations have to balance faster governance gains against integration cost and business disruption. That tradeoff is especially visible in acquired estates, homegrown applications, and vendor-managed platforms where the application owner cannot support deep integration quickly.
One common variation is to accept phased coverage: first establish inventory and owner accountability, then automate access reviews later. This is reasonable, and current guidance suggests it is better than leaving the application fully outside governance. Another edge case is applications with no API or directory integration. In those environments, best practice is evolving toward compensating controls and deliberate sunset plans rather than pretending the gap can be closed immediately.
A second variation involves applications that hold both human and non-human access. In those cases, IGA teams should coordinate with secrets governance and workload identity controls, because a complete access model must include service accounts, tokens, and API keys alongside user entitlements. That broader view aligns with NHIMG’s findings on widespread secrets sprawl in the Ultimate Guide to NHIs. The realistic target is not universal automation on day one, but steadily shrinking the number of applications that remain invisible to governance.
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 |
|---|---|---|
| NIST CSF 2.0 | GV.1 | Coverage gaps are a governance problem that requires clear ownership and prioritization. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Uncovered apps often hide service accounts and secrets outside formal lifecycle control. |
| NIST AI RMF | Risk framing supports phased coverage decisions across large, heterogeneous estates. |
Assign app owners, rank unmanaged apps by risk, and track remediation as a governance program.
