They often treat least privilege as a provisioning-time policy instead of a continuously verified access state. In mixed estates, rights drift through role changes, third parties, service accounts, and AI-enabled workflows. If teams cannot measure effective permissions, they cannot prove least privilege where it matters most.
Why This Matters for Security Teams
least privilege fails in mixed identity estates because the estate is no longer dominated by people with stable job functions. It now includes service accounts, third-party integrations, workload identities, and AI-enabled workflows that request access dynamically. Treating least privilege as a one-time provisioning task leaves teams blind to privilege drift, hidden inheritance, and permissions that remain effective long after the original business need has changed.
That gap matters because real-world compromise rarely starts with a perfectly scoped account. It starts with an identity that has more reach than anyone intended, often because access was granted for convenience and never revalidated. NHIMG research shows that 67% of organisations still rely heavily on static credentials, while the 2026 Infrastructure Identity Survey found that only 13% feel extremely prepared for agentic AI. In practice, many security teams discover excess access only after it has already been exercised, not through intentional review. See The State of Non-Human Identity Security and the OWASP Non-Human Identity Top 10 for the control failures that make this pattern persistent.
How It Works in Practice
Security teams often equate least privilege with assigning the right role at the moment of provisioning. In mixed estates, that is necessary but not sufficient. A better model is continuous verification: define the minimum effective permissions needed for a workload, then validate what that identity can actually do at runtime, in the context of the request. That includes who or what is calling, from where, for which system, and under which approved task.
For human users, this means role design, time-bounded elevation, and frequent entitlement review. For non-human identities, it means focusing on secrets, token scope, workload identity, and lifecycle controls. Current guidance suggests that short-lived credentials, just-in-time access, and policy evaluation at request time are more reliable than standing privilege, especially when identities are ephemeral or delegated across systems. The Zero Trust direction in NIST SP 800-207 Zero Trust Architecture supports this shift by assuming access must be continuously assessed rather than trusted once.
- Map effective permissions, not just assigned roles.
- Scope secrets and tokens to a single task or narrow workload.
- Use approval and revocation workflows for temporary elevation.
- Review service accounts, API keys, and vendor OAuth grants separately from human access.
- Instrument logging so you can prove what was used, not just what was granted.
NHIMG’s Top 10 NHI Issues and Ultimate Guide to NHIs — Key Challenges and Risks both show that over-privileged accounts and poor visibility are recurring attack drivers. These controls tend to break down when identity sprawl spans cloud, SaaS, CI/CD, and AI tooling because the access graph changes faster than review cycles can keep up.
Common Variations and Edge Cases
Tighter least-privilege enforcement often increases operational overhead, requiring organisations to balance reduced blast radius against slower delivery and more frequent access friction. That tradeoff becomes especially visible in environments with legacy systems, outsourced administration, or vendor-managed integrations, where permissions are inherited, opaque, or technically hard to shorten.
There is no universal standard for this yet, but current guidance suggests treating different identity classes differently. Humans can often be governed through RBAC plus JIT elevation. Service accounts and machine identities need stronger secret hygiene and scoped workload identity. AI agents are harder still because their action paths are dynamic, so static role assumptions break quickly. That is why the 2026 Infrastructure Identity Survey is useful context: 70% of organisations grant AI systems more access than a human employee performing the same job, and that pattern makes least privilege look compliant on paper while remaining excessive in practice.
Edge cases also include break-glass access, shared admin accounts, and vendor OAuth apps. These may be justified, but they should be time-bound, observable, and reviewed separately. The State of Non-Human Identity Security reports that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which means least privilege cannot be proven if delegated access is invisible. For mixed estates, the real question is not whether access was granted carefully once, but whether it remains justified every time it is used.
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 AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Least privilege erodes when NHI secrets and scopes stay broader than needed. |
| OWASP Agentic AI Top 10 | A-AC-2 | Agentic workloads need runtime authorization, not static access assumptions. |
| CSA MAESTRO | MA-03 | MAESTRO addresses governance for autonomous agents with changing access needs. |
| NIST AI RMF | GOVERN | Least privilege for AI requires accountable governance across model and workflow use. |
| NIST Zero Trust (SP 800-207) | PR.AC-4 | Zero trust requires continuous access verification instead of one-time provisioning. |
Assign ownership, review access decisions, and measure whether AI permissions stay justified.
Related resources from NHI Mgmt Group
- What do security teams get wrong about least privilege for autonomous systems?
- What do security teams get wrong about least privilege for agentic systems?
- What do security teams get wrong about least privilege in SaaS and cloud environments?
- What do security teams get wrong about least privilege in RBAC?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 25, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org