Start by mapping who and what can reach critical systems, then apply least privilege to both human and non-human access. Focus on the highest-risk entitlements first, especially in hybrid environments where permissions sprawl quickly. A practical programme ties access reviews, privilege reduction, and continuous monitoring to business-critical applications and infrastructure, not to every system equally.
Why This Matters for Security Teams
When cloud, infrastructure, and application access are all changing at once, identity governance becomes the control plane that keeps privilege from drifting faster than the organisation can review it. The immediate risk is not just excess access, but untracked access across humans, service accounts, API keys, and AI-enabled workloads. NHI Management Group research in the 2026 Infrastructure Identity Survey found that 70% of organisations grant AI systems more access than they would give a human employee doing the same job.
That pattern usually signals a broader governance problem: access decisions are being made in separate silos for cloud, infrastructure, and applications, even though attackers only need one weak link to move laterally. A useful starting point is to treat identity as the common denominator across systems and prioritise the entitlements that can reach production data, admin planes, and build pipelines. The NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 both reinforce that identity governance has to be continuous, not episodic.
In practice, many security teams discover their biggest exposure only after permissions have already multiplied across cloud roles, deployment tools, and agent access paths.
How It Works in Practice
Prioritisation works best when teams rank access by business impact, privilege depth, and blast radius rather than by system category alone. Start with the identities that can change production systems, read sensitive data, deploy code, or approve financial or operational actions. Then separate human review from machine enforcement: humans decide what should be allowed, while policy engines decide whether a request is allowed right now based on context.
For cloud and infrastructure, that means mapping roles, service principals, API tokens, SSH keys, and CI/CD identities to the workloads they can reach. For applications, it means understanding which privileged functions are exposed through admin consoles, support tooling, or internal APIs. The most practical approach is to combine access reviews, just-in-time elevation, and continuous monitoring so that standing privilege is reduced where possible and temporary privilege is tightly bounded. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful for building that lifecycle view, while the Top 10 NHI Issues highlights how over-privilege and weak rotation typically show up together.
Operationally, a strong programme usually does four things:
- Identifies the few identities that can alter infrastructure, production data, or identity itself.
- Assigns review frequency by risk, not by calendar convenience.
- Uses short-lived elevation for administrative actions instead of permanent standing access.
- Tracks changes in entitlement drift across cloud, infrastructure, and applications as one control problem.
NIST guidance on access control in NIST SP 800-53 Rev 5 Security and Privacy Controls supports this least-privilege model, but the implementation detail matters: controls need to be enforced at the point of use, not only during quarterly reviews. These controls tend to break down when infrastructure changes through automation faster than identity owners can reconcile role mappings across accounts, subscriptions, and SaaS admin planes.
Common Variations and Edge Cases
Tighter identity control often increases operational overhead, requiring organisations to balance rapid delivery against review burden and change velocity. That tradeoff is most visible in environments with ephemeral infrastructure, developer self-service, and multiple cloud tenants, where permissions may be created and discarded faster than traditional governance processes can track them. Best practice is evolving toward policy-as-code, delegated approvals, and automated entitlement discovery, but there is no universal standard for this yet.
Edge cases matter. In high-change environments, a monthly access review may be too slow for cloud admin roles but still appropriate for low-risk application users. Some teams also need to distinguish between break-glass access and everyday privileged access, because emergency access should be rare, heavily logged, and time-bound. The Ultimate Guide to NHIs — Key Challenges and Risks and the Ultimate Guide to NHIs — Regulatory and Audit Perspectives are helpful for distinguishing governance obligations from operational reality.
Security teams should also watch for environments where application access looks low-risk but is chained into infrastructure control through CI/CD, secrets managers, or support tooling. In those cases, the “application” entitlement is really an infrastructure privilege in disguise. The right prioritisation model focuses on reachable impact, not the label attached to the account.
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 SP 800-63, NIST Zero Trust (SP 800-207) 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-01 | Prioritising high-risk non-human access aligns with discovering and governing NHIs first. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access review across changing systems maps directly to access control governance. |
| NIST SP 800-63 | Identity assurance and authentication strength matter as access patterns change rapidly. | |
| NIST Zero Trust (SP 800-207) | Continuous verification is needed when access spans cloud, infrastructure, and applications. | |
| NIST AI RMF | Changing access for AI-enabled systems needs governance, accountability, and risk measurement. |
Reassess entitlements by business criticality and enforce least privilege across cloud, infra, and apps.
Related resources from NHI Mgmt Group
- How should security teams prioritise NHI remediation in cloud environments?
- How should identity teams prioritise application connectivity for access governance?
- How should security teams implement continuous access governance for SOC 2 across fast-changing SaaS and cloud environments?
- How should security teams implement human risk assessment in environments where employee behavior, identity access, and threat signals are all changing at once?