They should define one enforcement model, one measurement model, and one review cadence that applies to both human and non-human identities. The goal is not identical rules for every actor, but consistent control objectives, consistent telemetry, and clear ownership when access crosses identity classes.
Why This Matters for Security Teams
When humans and NHIs share business processes, authorization often fails at the seams: one group is governed by annual review cycles, the other by machine speed and ephemeral execution. That mismatch creates blind spots in approvals, logging, and revocation. NHI Management Group has repeatedly documented that credential rotation and weak monitoring remain common failure drivers, including in the State of Non-Human Identity Security and the Top 10 NHI Issues. The practical risk is not simply excessive access, but inconsistent governance across identity classes that makes it impossible to prove who could do what, when, and under which policy. Current guidance from NIST Cybersecurity Framework 2.0 supports outcome-based controls, which is the right direction for mixed human and non-human estates. In practice, many security teams encounter authorization gaps only after a service account, API token, or delegated human approval has already been used in an unintended path.How It Works in Practice
The most effective approach is to govern authorization by control objective, not by identity type. That means the same decision logic should answer three questions for any request: what is being attempted, what context supports it, and who owns the risk if it proceeds. For humans, that may still include RBAC, approval workflows, and separation of duties. For NHIs, it should usually include workload identity, short-lived credentials, and policy evaluation at request time rather than a standing permission grant. The operational point is consistency: one enforcement model, one telemetry model, one review cadence. A practical design usually includes:- Shared policy definitions that apply to both users and workloads, with exceptions documented rather than implied.
- Context-aware authorization for sensitive actions, especially when an NHI acts on behalf of a person or triggers downstream tools.
- JIT credentials for NHIs so access expires with the task, not with the calendar.
- Unified logging that records actor type, business purpose, approver, scope, and resource touched in a common schema.
- Periodic access reviews that sample both human entitlements and NHI trust paths using the same evidence standard.
Common Variations and Edge Cases
Tighter unified authorization often increases review overhead, so organisations must balance consistency against operational speed. That tradeoff is especially visible in environments with regulated approvals, partner integrations, or autonomous agents that chain multiple actions together. Best practice is evolving here, and there is no universal standard for exactly how much human and NHI authorization logic should be merged. One common edge case is delegated action, where a human initiates a workflow but an NHI executes the steps. In that model, the control should follow the effective actor and the delegated purpose, not just the initial requester. Another is vendor-managed automation, where the NHI may live outside the primary directory but still touches critical systems. In those cases, governance teams should insist on a shared evidence set for access reviews and incident response, even if the credentials are issued elsewhere. The 52 NHI Breaches Analysis is a useful reminder that failures often emerge when access is distributed across tools, owners, and silos rather than when one control is absent. For broader metrics and operational confidence gaps, the State of Non-Human Identity Security shows why review cadence and telemetry quality matter as much as policy design. The right answer is not to flatten all identities into one rule set, but to make their authorization evidence comparable enough that auditors, responders, and system owners can act on it.Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A-03 | Shared authorization must handle autonomous agents and delegated actions. |
| CSA MAESTRO | IAM-2 | MAESTRO addresses identity and access governance for agentic and machine actors. |
| NIST AI RMF | GOVERN | AI RMF governance supports cross-identity accountability and control ownership. |
Assign owners, review cadence, and evidence requirements for mixed human-NHI authorization.
Related resources from NHI Mgmt Group
- What do teams get wrong when they treat AI governance as a compliance project?
- How should security teams govern AI gateway authorization across models, tools, and agents?
- What do teams get wrong when they treat self-service request portals as identity governance?
- How should security teams make NHI best practices usable across the business?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org