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17/08/2026 4:42 pm
TL;DR: Cloud-native access governance now has to cover both humans and non-human identities, because legacy access models cannot keep pace with cloud sprawl, overprivilege, and lifecycle gaps across service accounts, keys, and users, according to P0 Security. The hard problem is not policy intent but enforcing least privilege consistently across identities whose access patterns and ownership models differ.
NHIMG editorial — based on content published by P0 Security: Strengthening Access Governance for Human and Machine Identities
Questions worth separating out
Q: How should security teams govern digital trust across human and machine identities?
A: Security teams should treat digital trust as a shared governance model across human identities, service identities, workloads, and devices.
Q: Why do NHIs complicate least-privilege access models?
A: NHIs complicate least-privilege models because their access is often embedded in code, pipelines, and integrations, then reused beyond the original task.
Q: What breaks when service accounts in Active Directory are not clearly owned?
A: Lifecycle governance breaks first, because no one can confidently attest, rotate, or decommission the account.
Practitioner guidance
- Build one identity inventory across people and machines Map every human account, service account, token, and key to a single inventory with an owner, purpose, and expiry condition.
- Assign lifecycle ownership for every NHI Require a business or technical owner for each non-human identity, then attach onboarding, rotation, recertification, and offboarding steps to that owner.
- Tighten least privilege at runtime Review whether cloud roles, service permissions, and application entitlements are broader than the actual task scope.
What's in the full article
P0 Security's full article covers the operational detail this post intentionally leaves for the source:
- Specific examples of how to inventory humans and NHIs in one access governance model.
- Practical workflows for onboarding, rotation, and offboarding of non-human identities.
- The article's own access governance framing for service owners and identity owners.
- How the vendor positions least privilege across users, machines, and agents.
👉 Read P0 Security's analysis of access governance for human and machine identities →
Human and machine identities: is your access governance keeping up?
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17/08/2026 4:47 pm
Unified identity governance is now a structural requirement, not an optimisation. The article is right to treat humans and NHIs as part of the same access problem, because cloud-native systems expose both through the same control surfaces. When inventories, policy, and ownership diverge, attackers look for the least visible identity rather than the weakest authentication factor. The implication is that identity programmes need one governance model with actor-specific enforcement, not parallel exceptions.
A few things that frame the scale:
- The average organisation believes more than 1 in 5 of their non-human identities are insufficiently secured, according to The 2024 ESG Report: Managing Non-Human Identities.
- Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks.
A question worth separating out:
Q: How can teams tell whether access governance is actually working?
A: Look for short revocation times, low rates of stale entitlements, and repeatable access review outcomes across systems. If accounts remain active after role changes or offboarding, governance is not effective. Good measurement focuses on whether access is removed when it stops being justified.
👉 Read our full editorial: Access governance for human and machine identities is breaking down
