Accountability sits with the organisation that defines and maintains the identity governance process, not with the individual system producing one fragment of data. Teams should own source precedence, merge rules, and review controls so that duplicate records, stale relationships, and misassigned licenses are detected before they distort reporting or access decisions. Governance needs a clear owner and a repeatable remediation workflow.
Why This Matters for Security Teams
Duplicate user records and misclassified app relationships are not just data quality issues. They directly affect who gets access, what gets billed, and whether entitlement reviews can be trusted. When identity governance relies on fragmented records, teams can approve the wrong account, miss a toxic combination, or misattribute spend to the wrong owner. That creates both operational waste and real security exposure.
This is why control ownership matters more than whichever system first introduced the error. The governing team must define source precedence, reconciliation rules, and exception handling, then enforce them consistently across identity, SaaS, and app registries. NIST’s Security and Privacy Controls and the OWASP Non-Human Identity Top 10 both reinforce the need for accurate inventory, access oversight, and continuous review.
NHIMG research shows how often visibility is incomplete: only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs. In practice, many security teams discover duplicate identities or bad app mappings only after an access review, an audit exception, or a billing dispute has already exposed the problem.
How It Works in Practice
The accountable team should treat identity and relationship records as governed data, not as passive output from upstream tools. That means establishing a system of record for identity attributes, defining which source wins on conflict, and documenting how duplicates are merged or quarantined. It also means assigning ownership for each application relationship so every app, service account, and license has a named business or technical custodian.
Operationally, strong programs use a repeatable workflow:
- Detect duplicates through deterministic rules, probabilistic matching, or both.
- Validate whether records represent the same user, the same app, or a legitimate shared identity.
- Apply merge, suppress, or decommission actions with approval and audit logging.
- Reconcile entitlement and spend data after the identity graph is corrected.
- Review exceptions regularly so stale relationships do not reappear.
For non-human identities, the governance bar is higher because accounts often connect to APIs, pipelines, and automated workflows. The Ultimate Guide to NHIs — Key Challenges and Risks highlights how poor visibility and weak lifecycle controls amplify exposure. In parallel, current guidance suggests mapping ownership and relationships with the same rigor used for privileged access, especially where service accounts or integrations can trigger spend, provisioning, or production changes. These controls tend to break down when identity data is spread across HR, IAM, SaaS admin consoles, and finance systems because no single team sees the full graph.
Common Variations and Edge Cases
Tighter identity reconciliation often increases operational overhead, requiring organisations to balance reporting accuracy against review effort and automation cost. That tradeoff is real when multiple systems legitimately describe the same person or application in different ways, or when mergers, contractors, and shared service accounts blur ownership boundaries.
Best practice is evolving for edge cases such as:
- Shared administrative accounts, where a single record may mask multiple operators and require compensating controls.
- Vendor-managed apps, where ownership may sit outside the enterprise but the entitlement risk still sits inside it.
- Inactive or orphaned records, where old relationships should be preserved for audit but excluded from live decisions.
- Billing allocations, where cost centre mapping can diverge from security ownership and needs separate approval.
For organisations dealing with NHI sprawl, the broader risk picture is consistent with NHIMG findings in the Ultimate Guide to NHIs and the 52 NHI Breaches Analysis: incomplete ownership and stale relationships lead to both access mistakes and delayed remediation. There is no universal standard for duplicate-merge thresholds yet, so organisations should document their own governance criteria, then test them against audit, finance, and security outcomes.
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 | ID.AM-1 | Asset inventory accuracy is central when duplicates distort identity and app records. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Poor NHI visibility and ownership drive duplicate records and misclassified relationships. |
| CSA MAESTRO | GOV-2 | Agent and workload governance needs accountable ownership and lifecycle control. |
| NIST AI RMF | GOVERN | Governance requires clear accountability for data and decision workflows. |
| NIST Zero Trust (SP 800-207) | PA-3 | Policy decisions depend on accurate identity context and continuous validation. |
Assign owners to every non-human identity and verify relationships before access or spend decisions.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on August 24, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
