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06/06/2026 1:58 am
TL;DR: Agentic AI is pushing identity security from an IT concern to a board-level issue because every agent action runs under an identity, and legacy IAM cannot reliably enforce short-lived, purpose-bound access at scale, according to Oasis Security. The key gap is not tooling alone, but a missing shared framework for governing NHIs across cloud, SaaS, CI/CD, and AI environments.
NHIMG editorial — what this means for AI and NHI governance
Questions worth separating out
Q: How should security teams govern AI agents that act under non-human identities?
A: They should treat AI agents as governed identities with explicit ownership, purpose, expiry, and review conditions.
Q: Why do NHIs complicate existing IAM and IGA programmes?
A: NHIs complicate IAM and IGA because they multiply quickly, operate across multiple platforms, and often lack the stable ownership patterns that human identity programmes assume.
Q: When should organisations prioritise NHI lifecycle governance over more access tooling?
A: They should prioritise lifecycle governance when identities are proliferating faster than teams can account for them.
Practitioner guidance
- Define a shared NHI operating model Establish common definitions for ownership, purpose, expiry, and offboarding across service accounts, API keys, certificates, and AI agent identities.
- Map lifecycle controls to each NHI type Document where provisioning, rotation, recertification, and termination differ for cloud, SaaS, CI/CD, and agent-based identities so teams stop applying human-centric workflows by default.
- Bind agent access to task scope and duration Require every agent identity to have a narrow purpose, an explicit expiry condition, and a recorded owner before it is allowed to act.
What's in the full announcement
Oasis Security's full blog covers the operational detail this post intentionally leaves for the source:
- The certification curriculum structure and how it is organised for practitioners entering NHI governance.
- The maturity model and how it is positioned as a benchmarking tool for an NHI programme.
- The real-world scenario coverage across cloud, SaaS, CI/CD, and AI environments.
- The badge and certificate details for teams that want the training path itself, not just the governance argument.
👉 Read Oasis Security's blog on the NHI Management Fundamentals Certification →
Agentic AI governance needs NHI fundamentals before scale hits?
Explore further
06/06/2026 3:22 am
NHI management is becoming the control plane for agentic AI adoption. Once agents can act at machine speed under their own identities, access governance stops being a back-office function and becomes the mechanism that determines whether AI can be adopted safely. The article is directionally correct that identity is the enforcement point, but the deeper point is that policy, ownership, and expiry now define whether agentic access is governable at all. Practitioners should treat NHI governance as the prerequisite for scaling agentic systems.
A few things that frame the scale:
- 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared with nearly 1 in 4 for securing human identities.
A question worth separating out:
Q: What is the difference between human identity governance and NHI governance?
A: Human identity governance assumes a person can be challenged, retrained, or manually reviewed. NHI governance has to manage identities that may be ephemeral, automated, and embedded in systems, so lifecycle, ownership, and revocation become more operational and less behavioural.
👉 Read our full editorial: NHI management fundamentals are becoming central to agentic AI adoption
