They should stop measuring progress by meetings completed and start measuring it by working lifecycle controls, successful integrations, and reduced business friction. If those outputs are not improving, the organisation should reassess whether the custom path still makes sense.
Why This Matters for Security Teams
When a custom IAM build has consumed time without producing working lifecycle controls, the issue is usually not effort. It is whether the programme is delivering operational identity outcomes. Identity leaders are being asked to secure service accounts, API keys, certificates, and workloads that often outnumber human identities by a wide margin, and the gap between plans and controls is where risk accumulates. The Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which is why “almost ready” systems still leave blind spots.
That matters because custom IAM programmes can become meeting-heavy, integration-light, and dependent on a few internal experts. Security teams then inherit a design that looks strategic but still leaves secrets unmanaged, access unreviewed, and revocation incomplete. Current guidance from the NIST Cybersecurity Framework 2.0 emphasises outcomes, not activity, so progress should be measured by enforced controls and reduced exposure. In practice, many security teams discover the failure only after a leaked credential, failed offboarding, or production incident forces the reassessment.
How It Works in Practice
The practical response is to stop treating the custom build as an end in itself and re-anchor it to lifecycle outcomes. That means defining the minimum set of controls the organisation actually needs, then validating whether the current path can deliver them on a useful timeline. The key question is not whether the team has designed the target state, but whether the build can enforce it across real systems.
For NHI governance, the most important checks are straightforward: can the platform issue, rotate, revoke, and inventory credentials reliably; can it integrate with the identity stores, CI/CD pipelines, and cloud services that matter; and can it prove that privileged access is shrinking rather than expanding? NHIMG research such as the Top 10 NHI Issues and the 52 NHI Breaches Analysis shows why unmanaged credentials and weak revocation are persistent failure points.
- Track working lifecycle controls, not design completion. A control that cannot revoke or rotate safely is not a control yet.
- Measure successful integrations with the systems that hold real risk, especially secret stores, build systems, and cloud workloads.
- Test whether business friction is falling. If developers, operators, or platform teams bypass the build, the architecture is too brittle.
- Use current-state findings to decide whether to simplify, replace, or scope down the custom build.
Identity leaders should also compare the custom path against a clearer operating model: standards-based identity patterns, short-lived credentials, and automation that can be governed centrally. The issue is not whether custom is possible, but whether it is still the fastest route to controllable outcomes. These controls tend to break down when the build depends on manual approvals across many teams because the latency defeats the very lifecycle automation it is supposed to provide.
Common Variations and Edge Cases
Tighter identity controls often increase short-term delivery cost, requiring organisations to balance speed against the risk of carrying an unfinished platform for too long. That tradeoff is especially real when the build already has partial integrations, because abandoning it can feel wasteful even when the operational return is weak. Best practice is evolving, but current guidance suggests that sunk cost should not override control effectiveness.
Some environments can justify continuing a custom path. Highly regulated estates, unusual legacy protocols, or niche workload patterns may require bespoke integration. Even then, the standard for continuation should be explicit: named owners, delivery milestones, testable lifecycle controls, and a decision date. If those conditions are absent, the programme should be treated as a candidate for redesign or retirement rather than indefinite continuation.
There is also an important measurement edge case. A custom IAM build may appear successful if it reduces meeting load or generates design artefacts, yet still fail if it does not reduce secrets sprawl or improve revocation. That is why security leaders should pair what are non-human identities with real operational telemetry and align the work to the maturity expectations in the NIST framework rather than internal optimism alone.
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-01 | Custom IAM should deliver lifecycle control for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Access control outcomes are the right measure of IAM progress. |
| NIST AI RMF | Risk-based governance helps decide whether the custom path still makes sense. |
Map the build to access-control outcomes and retire any path that cannot enforce them.
