TL;DR: C1.ai argues that least privilege has not kept pace with SaaS, IaaS, PaaS, and on-prem complexity because standing permissions linger after they are needed, creating risk and workflow friction. Zero standing access shifts control to just-in-time provisioning, step-up approvals, and full auditability, which better matches modern access demand.
Editorial analysis by NHI Mgmt Group, based on content published by C1.ai: “Moving Beyond Least Privilege”.
Key questions
Q: What breaks when least privilege is applied as a static model in modern environments?
A: Static least privilege breaks when identity and workload needs change faster than access reviews can keep up.
Q: When should organisations prioritise zero standing access over permanent entitlements?
A: Organisations should prioritise zero standing access when privileged actions are intermittent, high impact, or difficult to forecast in advance.
Q: What are the signs that standing permissions are creating governance risk?
A: Common signs include approval bottlenecks, developers and operators creating workarounds, credentials that remain active after the job is complete, and access reviews that confirm entitlements long after they were needed.
Practitioner guidance
- Define zero standing access as the programme goal Set policy so privileged access is granted only for a specific task and expires when the task ends.
- Move approvals to issuance time Require step-up approval for sensitive actions such as production changes, data export, and emergency admin work.
- Instrument privileged sessions for full auditability Log who requested access, who approved it, what was done, and when access was removed.
Bottom line: The article argues that least privilege fails in practice because access models are still built around standing permissions in environments that change too quickly.
What's in the full article
C1.ai's full blog post covers the practical detail this post intentionally leaves for the source:
- The argument for why standing permissions, not the abstract least-privilege ideal, are the operational problem
- The specific access patterns that justify just-in-time provisioning and step-up approvals
- The role of full auditability in proving temporary access stayed temporary
- The author’s perspective on how IAM, PAM, and NHI governance should evolve for modern estates
👉 Read C1.ai's analysis of why least privilege is being replaced by zero standing access →
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Least privilege fails as an operating model once access patterns become dynamic. The original idea assumes identities and resource needs can be predicted and held stable long enough for a static entitlements model to work. That assumption is increasingly false across cloud, SaaS, and hybrid estates where access needs change by project, by role, and by moment. The implication is that governance has to move from provisioning-time design to use-time control.
A few things that frame the scale:
- Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems. Organisations failing to scope AI access properly are 4.5x more likely to experience a security incident, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: Why do service accounts and AI agents need different controls from human users?
A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect. They can operate across runtimes, scale quickly, and carry permissions into automated workflows. That means access decisions should consider workload context, runtime behaviour, and time-bound authority rather than relying only on user-centric IAM patterns.
👉 Read our full editorial: Least privilege is broken: why zero standing access wins now