They assume they already have complete visibility when they actually have several partial authorities that have never been reconciled. That leads to clean reviews that miss local or legacy access, because each system can only confirm its own slice of identity data. The practical failure is delayed detection, not bad reporting by any single control.
Why This Matters for Security Teams
When a source of truth is treated as the same thing as a system of record, teams confuse authoritative data with operational evidence. A source of truth may define what should exist, while a system of record only reflects what one platform currently knows about itself. That difference matters for access reviews, inventory, and incident response, because clean-looking reports can still miss shadow accounts, stale entitlements, or legacy trust paths.
This is especially visible in NHI governance, where service accounts, API keys, and machine identities are often spread across vaults, CI/CD systems, cloud control planes, and application databases. NHIMG research shows only 5.7% of organisations have full visibility into their service accounts, which helps explain why incomplete reconciliation is so common. The problem is not that one control is wrong; it is that each control is partial, as seen in cases like the ASP.NET machine keys RCE attack, where overlooked trust material became the path to compromise. NIST’s NIST Cybersecurity Framework 2.0 reinforces the need for governance and continuous awareness, not just static inventory.
In practice, many security teams discover the gap only after a privileged credential has already survived a review cycle it should never have passed.
How It Works in Practice
The operational fix is to separate authoritative intent from observed reality. A source of truth should define identity policy, ownership, and expected lifecycle state. A system of record should document what a specific platform last observed, provisioned, or revoked. Those two views must be reconciled continuously, not assumed to be identical. For NHI programs, that usually means correlating vault state, cloud IAM, directory records, application-local accounts, and CI/CD-issued secrets into one review workflow.
Current guidance suggests three practical steps:
- Define one canonical identity model for each NHI class, including ownership, purpose, expiry, and allowed systems.
- Use reconciliation jobs to compare the canonical model against each system of record and flag drift, duplicate principals, and orphaned credentials.
- Treat revocation as an event, not a report, so access removal propagates across all stores and not just the platform that initiated change.
NHIMG’s guidance on the Ultimate Guide to NHIs is useful here because it frames visibility, rotation, and offboarding as lifecycle controls rather than spreadsheet exercises. The same logic appears in hardcoded-secret abuse patterns such as the Gladinet Hard-Coded Keys RCE Exploitation case, where the application and the security team each had only part of the truth. Mapping this to policy also helps: NIST CSF 2.0 encourages ongoing identification and protection activities, but it does not replace the need to reconcile multiple records of identity state.
These controls tend to break down when legacy systems, local accounts, and manually managed secrets remain outside the reconciliation pipeline because no single platform can observe or revoke them all.
Common Variations and Edge Cases
Tighter reconciliation often increases operational overhead, requiring organisations to balance completeness against system complexity and change velocity. That tradeoff is real, especially in hybrid estates where one system writes identity changes, another caches them, and a third only discovers them during periodic scans. There is no universal standard for collapsing all of these into one record model yet, so current guidance suggests choosing a canonical source for intent and letting systems of record remain evidence stores.
Edge cases usually appear in shared service accounts, embedded credentials, acquired environments, and applications that keep their own local identity stores. In those environments, the source of truth may say an account is disabled while an old token still works in a downstream platform. That is why teams should verify revocation paths, not just record state, and why access governance must include reconciliation across application, directory, and secret-management layers.
For practitioners, the practical test is simple: if the “authoritative” record cannot explain where access still exists, it is not yet authoritative enough for security decisions.
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 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-01 | Identity sprawl and incomplete visibility are core NHI governance gaps. |
| NIST CSF 2.0 | ID.AM-1 | Asset and identity inventory must cover all records, not just one platform. |
| NIST AI RMF | GOVERN | Authoritative identity decisions need accountable governance and traceability. |
| NIST Zero Trust (SP 800-207) | 4.1 | Zero trust requires continuous verification of identity state across systems. |
Establish one canonical NHI inventory and reconcile every system record against it on a set cadence.
Related resources from NHI Mgmt Group
- What breaks when organisations treat provisioning as the same thing as security control?
- What breaks when organisations treat all non-human identities as the same thing?
- What breaks when organisations treat data residency as the same thing as digital sovereignty?
- What breaks when organisations treat time-boxed access as the same thing as zero standing privilege?
