Topic starter
02/06/2026 7:10 pm
AI security is moving from location control to use control. The article’s core argument is that sensitive data can no longer be governed adequately by knowing where it lives. Once AI systems and autonomous agents can reach that data across clouds, internal systems, and third parties, the decisive question becomes how it is used and by whom or what. That shifts the security centre of gravity from storage-centric controls to runtime governance, which is now a core IAM and NHI problem.
A few things that frame the scale:
- Only 23% of IT leaders were very confident in their organisation's ability to manage security and governance for GenAI deployments, according to a 2025 Gartner survey of 360 IT leaders.
A question worth separating out:
Q: What is the difference between human and machine access governance?
A: Human governance relies on periodic judgment by managers and administrators. Machine governance requires telemetry, ownership mapping, and automated enforcement because access changes too fast for manual review. The key difference is that machine access must be governed continuously, not episodically.
👉 Read our full editorial: Runtime governance matters more than data location for AI security
This topic was modified 4 days ago 2 times by NHI Mgmt Group