Security teams should use an execution layer that can normalize account and entitlement data, automate lifecycle actions, and capture audit evidence across difficult systems. The goal is not to replace governance, but to extend policy decisions into applications that would otherwise depend on tickets, CSV files, or manual admin work. That reduces coverage gaps and makes enforcement more consistent.
Why This Matters for Security Teams
When an application lacks clean APIs or mature connectors, identity governance usually degrades into manual exceptions: tickets, spreadsheets, one-off admin work, and evidence assembled after the fact. That is where coverage gaps start. The control problem is not just provisioning speed. It is whether the organisation can still enforce joiner-mover-leaver rules, entitlement reviews, and revocation when the target system resists automation. NIST’s NIST Cybersecurity Framework 2.0 remains useful here because it frames governance as an enterprise capability, not a tool-specific task. NHIMG research shows why this matters: only 5.7% of organisations have full visibility into their service accounts, and 80% of identity breaches involved compromised non-human identities such as service accounts and API keys in the Ultimate Guide to NHIs. In practice, many security teams discover the weakest application only after access has already outlived the user, the service account, or the approval trail.How It Works in Practice
The practical pattern is to add an execution layer that can translate governance decisions into actions even when the target application cannot. That layer normalises account and entitlement data, applies policy, executes changes through whatever interface exists, and records evidence for audit. Where full API coverage does not exist, teams often combine several methods: RPA-style admin actions, database or directory updates, secure scripting, and controlled human fallback. The goal is consistent policy enforcement, not perfect technical elegance. A workable model usually includes:- Authoritative identity data from the governance platform, so the source of truth remains central.
- Target-system mapping for accounts, roles, groups, and entitlements, even if the mapping is partial.
- Workflow orchestration that can trigger approvals, revocations, and periodic recertification.
- Evidence capture that logs who approved, what changed, when it changed, and how the action was verified.
- Compensating controls such as time-bound access, dual approval for sensitive changes, and post-change reconciliation.
Common Variations and Edge Cases
Tighter governance often increases operational overhead, requiring organisations to balance control coverage against system fragility and admin effort. That tradeoff becomes sharper in legacy platforms, vendor-hosted portals, and applications with fragile session handling. Best practice is evolving, but current guidance suggests treating these systems as high-risk rather than exempt. Common edge cases include:- Shared admin accounts that cannot be individually recertified, which forces stronger compensating controls and tighter monitoring.
- Applications that permit read-only API access but require manual writes, creating partial automation that must still preserve audit evidence.
- Systems with no event export, where entitlement drift must be detected through scheduled reconciliation instead of real-time telemetry.
- Disconnected or air-gapped environments, where governance actions may need offline approval records and delayed synchronisation.
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, OWASP Agentic AI Top 10 and CSA MAESTRO 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-04 | Addresses governance gaps caused by unmanaged non-human identities in hard-to-integrate apps. |
| OWASP Agentic AI Top 10 | AGENT-03 | Useful where automation or agents execute access changes across non-API systems. |
| CSA MAESTRO | GOV-02 | Supports governance for orchestration layers that extend identity decisions into applications. |
| NIST CSF 2.0 | PR.AC-1 | Access control remains relevant even when the target application lacks mature connectors. |
| NIST AI RMF | GOVERN | Govern function applies when automated workflows make identity decisions in fragile environments. |
Constrain automated execution paths and verify every privileged action with policy and logs.
Related resources from NHI Mgmt Group
- How should security teams reduce the backlog of applications without native connectors in identity governance programs?
- How should security teams use executive events to improve identity governance alignment?
- Why do applications without native connectors create a persistent identity governance gap?
- How should security teams use IAST and RASP in NHI governance?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org