Because each organisation often builds its own approval rules, role models, and governance habits, which makes a shared control baseline difficult. Without a common blueprint, identity decisions become inconsistent across agencies, and that creates gaps in accountability, auditability, and lifecycle management.
Why This Matters for Security Teams
Fragmented agencies do not just duplicate policy work. They create incompatible identity baselines, inconsistent approval chains, and uneven privilege models that make control validation nearly impossible across departments. That matters because IAM is only as strong as the weakest process that issues, reviews, or revokes access. When each agency uses its own naming, role design, and exception handling, even simple questions like “who approved this access” become hard to answer reliably.
This is where standardisation shifts from an administrative goal to a security requirement. The NIST Cybersecurity Framework 2.0 emphasises governance and repeatable risk treatment, but agencies often struggle to translate that into shared identity operations. NHIMG research shows the scale of the problem: in the Ultimate Guide to NHIs, only 5.7% of organisations reported full visibility into their service accounts, which is a warning sign for any distributed environment trying to standardise controls.
In practice, many security teams encounter control drift only after an audit finding, a merger, or a cross-agency incident exposes how different their identity practices really are, rather than through intentional governance design.
How It Works in Practice
Standardisation starts by separating the control objective from the local implementation. A shared baseline should define what must be true everywhere, such as approval evidence, role review frequency, credential lifetime, logging requirements, and offboarding triggers. Each agency can still use its own tooling, but the control intent must be comparable and auditable.
Practically, that means creating a common IAM policy model with agreed definitions for workforce, contractor, service account, and application access. It also means deciding which controls are mandatory versus configurable. For example, one agency may use a different directory or ticketing platform, but both should enforce the same minimum requirements for least privilege, periodic recertification, and privileged session logging. The NIST framework is useful here because it helps teams treat identity as an enterprise risk domain, not just a local admin task.
For non-human identities, standardisation becomes even more important because secrets, tokens, and API keys often spread faster than human entitlements. NHIMG highlights that 88.5% of organisations say their non-human IAM practices lag behind or only match their human IAM maturity, which explains why fragmented agencies frequently inherit weak patterns instead of converging on better ones. A useful operational pattern is:
- one authority for identity taxonomy and control language,
- one baseline for approval and review cadence,
- one evidence model for audit and oversight,
- one lifecycle standard for provisioning, rotation, and revocation.
That does not require identical tools, but it does require shared policy outcomes and reliable translation between systems. These controls tend to break down when agencies operate disconnected directories, because identity ownership, exception tracking, and entitlement review data cannot be reconciled cleanly.
Common Variations and Edge Cases
Tighter standardisation often increases coordination overhead, requiring organisations to balance consistency against local operational autonomy. That tradeoff is real in federated government, healthcare networks, and multi-agency public sector programmes where legal authority, procurement, or data residency constraints differ.
Current guidance suggests that the safest approach is not full centralisation, but federated governance with common control criteria. In other words, agencies can keep separate administrative domains while still using one identity policy catalogue, one risk vocabulary, and one evidence standard. This is especially useful when privileged access, third-party access, or non-human access spans multiple boundaries.
The hardest edge cases are legacy systems and emergency access. Legacy applications often cannot support modern role design or strong lifecycle controls, while incident response may justify temporary exceptions. Those exceptions should be explicitly time-bound and reviewed, not absorbed into normal operations. NHIMG’s Azure Key Vault privilege escalation exposure research is a good reminder that mis-scoped access in one place can become a broad compromise path elsewhere. Standardisation helps most when it is treated as a governance discipline, not a tooling mandate.
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 SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | Shared identity baselines need enterprise governance and common outcomes. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Fragmentation often creates inconsistent non-human identity ownership and lifecycle controls. |
| NIST SP 800-63 | IAL2 | Standardised identity proofing and assurance reduce cross-agency inconsistencies. |
Adopt common assurance levels so access decisions are comparable across agencies.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 25, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
