Topic starter
08/01/2026 12:45 pm
TL;DR: Machine identities span more than 90 types across clouds, data platforms, SaaS, and CI/CD, and the article argues that only an access graph can make ownership, effective permission, and secrets hygiene visible enough to govern, according to Veza. The core issue is not discovery alone but proving who can do what, then using that evidence to cut standing privilege and contain drift faster.
Editorial analysis by NHI Mgmt Group, based on content published by Veza: “All the Keys, Visualized: Governing 90+ Non-Human Identities”.
Key questions
Q: What breaks when non-human identity ownership is unclear?
A: When ownership is unclear, rotation stalls, reviews default to approval, and nobody feels safe removing access.
Q: Why do standing privileges make NHI incidents harder to contain?
A: Standing privilege gives a compromised or overreached machine identity a wider and longer window to act before anyone notices.
Q: How do teams know if NHI governance is actually working?
A: Look for complete inventory coverage, clear ownership, enforced rotation, and reliable decommissioning.
Practitioner guidance
- Map every NHI to an owner and purpose Require a named human owner, stated business purpose, and review cadence for each machine identity before it is accepted into production governance.
- Model effective permission in an access graph Use a graph to connect identities, entitlements, environments, and data sensitivity so you can see what each NHI can actually do across systems.
- Prioritise stale and over-scoped secrets Pull credentials with no recent use, overdue rotation, or tenant-wide scope into the first remediation queue, especially where production data is reachable.
Bottom line: Non-human identity governance fails when machine accounts are treated as isolated integrations instead of objects with owners, effective permissions, and credential behaviour.
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06/10/2026 9:16 pm
Graph-based access control is now a governance requirement for NHIs, not a convenience feature. Machine identities span too many systems and permission dialects for spreadsheet governance to keep up. The category has moved from inventory management to explainable access decisions, and that means the control objective is effective permission, not just discovery. Practitioners should treat the graph as the authoritative layer for proving access and ownership.
A few things that frame the scale:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: Should organisations prioritise access graphs over manual NHI inventory?
A: Yes, when machine identities span multiple clouds, SaaS tools, and data platforms. A manual inventory cannot show effective permission or relationships between owners, secrets, and entitlements, so it quickly becomes stale. An access graph is what makes cross-system governance and targeted remediation practical.
👉 Read our full editorial: Governing 90+ non-human identities requires graph-based access control