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04/06/2026 6:42 pm
TL;DR: IGA was built for human identities with stable ownership, HR-linked lifecycles, and periodic review, but modern environments are dominated by non-human identities that authenticate with secrets, change dynamically, and require runtime context for governance, according to Oasis Security. The old review model creates friction without clarity, and machine access now needs continuous validation rather than people-centric attestation.
NHIMG editorial — based on content published by Oasis Security: Non-Human Identity Governance: Why IGA Falls Short
Questions worth separating out
Q: What breaks when organisations use human IGA for non-human identities?
A: Human IGA breaks when applied to machine identities because it assumes stable ownership, predictable lifecycle events, and human intent.
Q: Why do non-human identities need runtime context for governance?
A: Non-human identities need runtime context because their access only makes sense when you know what initiated it, what secret was used, what resource was touched, and what depends on it.
Q: How should security teams govern AI agents that can take actions on their own?
A: Security teams should govern AI agents at execution time, not only at provisioning time.
Practitioner guidance
- Map all machine identities to a named business owner Create a governance register that links each service account, service principal, bot, and AI agent to a responsible team and a documented business purpose.
- Replace periodic certification with usage-based validation Use logs, dependency data, and secret activity to determine whether an identity is still active before recertifying it.
- Tie secret rotation to behaviour and risk change Rotate credentials when the identity changes purpose, when a consuming system is retired, or when abnormal usage appears.
What's in the full article
Oasis Security's full blog covers the operational detail this post intentionally leaves for the source:
- The article's specific argument for why scheduled certifications fail when machine identities change continuously
- The vendor's explanation of how contextual intelligence is derived from production usage rather than per-application workflows
- The operational view of governing agentic AI access through execution-time controls and intent-aware decisioning
- The implementation rationale for integrating identity providers, logs, and EDR instead of relying on heavy connector sprawl
👉 Read Oasis Security's analysis of why IGA falls short for non-human identity governance →
Non-human identity governance: where IGA breaks down in practice?
Explore further
04/06/2026 6:52 pm
Human-centric IGA is structurally misaligned with machine identity governance. It was designed for identities that map cleanly to employees and contractors, with stable ownership and HR-backed lifecycle events. That assumption fails when the identity is a service account or automation credential because the actor is created, reused, and retired by systems rather than people. The implication is that NHI governance cannot be treated as a filtered version of employee IGA.
A few things that frame the scale:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which explains why many NHI programmes still struggle to prove ownership and usage.
A question worth separating out:
Q: When should organisations replace access reviews with continuous validation for NHIs?
A: Organisations should replace review-heavy NHI governance with continuous validation when identities are created dynamically, change frequently, or support critical production workflows. If access can become stale between review cycles, the programme needs usage-based controls, ownership clarity, and offboarding discipline instead of relying on attestation alone.
👉 Read our full editorial: Why IGA falls short for non-human identity governance
