Join our Newsletter — 33% off our NHI Course

Understanding the Secret Zero Problem and How to Eliminate It

 

(@nhi-mgmt-group)
Member Moderator
Joined: 1 year ago
Posts: 21735
Topic starter  

TL;DR: Least privilege limits access windows and reduces blast radius, but Entro Security’s discussion shows that minimum access, JIT access, and just-enough administration still require careful orchestration to avoid disruption, misconfiguration, and privilege creep. Static IAM models are not enough when NHIs and AI agents change faster than review cycles.

Editorial analysis by NHI Mgmt Group, based on content published by Entro Security: “Principle of Least Privilege (PoLP)”.

Key questions

Q: What breaks when organisations keep standing privilege for AI agents and NHIs?

A: Standing privilege turns into unmanaged exposure when access outlives the task that justified it.

Q: Why do over-privileged NHIs and AI agents create more risk than static user accounts?

A: Because their access often persists across automation, integrations, and delegated workflows that humans do not continuously supervise.

Q: How do teams know whether least privilege is actually working for non-human identities?

A: Look for a narrow gap between approved scope and observed activity, plus reliable revocation when work ends.

Practitioner guidance

  • Define task-scoped entitlement baselines Map each NHI and AI agent to a smallest-necessary permission set, then document the task boundaries that justify each access path.
  • Separate temporary elevation from standing access Use just-in-time access for privileged operations that truly need elevation, and make sure revocation is automatic and observable.
  • Audit for privilege creep in reusable identities Review service accounts, tokens, and agent credentials for permissions that no longer match current use, especially where exceptions were added for delivery speed.

Bottom line: Least privilege for NHIs and AI agents fails when entitlement design is treated as a one-time event instead of an ongoing control state.

Explore further

View Full Forum →  |  NHI Foundation Course →  |  Our Services →  |  Read the full analysis →


This topic was modified 11 months ago by Abdelrahman
This topic was modified 6 days ago by NHI Mgmt Group

   
Quote
(@mr-nhi)
Member Moderator
Joined: 5 months ago
Posts: 21568
 

Least privilege is no longer a static entitlement model for non-human identities. The article’s core lesson is that minimum access only works when governance tracks the lifecycle of the identity, not just the role design. Service accounts and AI agents can gain and outgrow privileges faster than periodic reviews can correct them, so the discipline has shifted from assignment to continuous constraint.

A few things that frame the scale:

  • 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
  • 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: What is the difference between just-in-time access and always-on access for machine identities?

A: Just-in-time access grants a machine identity permission only for a defined task and time window, then removes it automatically. Always-on access leaves credentials or sessions available continuously, which is easier to operate but far riskier. For machine identities, the practical difference is whether access exists only at use time or persists as a standing opportunity for misuse.

👉 Read our full editorial: Least privilege for AI agents and NHIs needs continuous governance



   
ReplyQuote
Share:

Free weekly newsletter

Subscribe to the NHI & AI Identity Journal

The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.

Bonus 33% off our NHI Course when you subscribe.