Topic starter
01/08/2026 8:56 pm
TL;DR: Most zero trust deployments stop at the network layer, leaving session activity, data controls, and non-human access outside enforcement while AI agents make machine-speed calls via MCP and internal APIs, according to Island. That gap matters because identity governance now has to cover what users and agents do after authentication, not just who logged in.
Editorial analysis by NHI Mgmt Group, based on content published by Island: “Island Private Access”.
Key questions
Q: How should security teams extend zero trust beyond authentication and network controls?
A: Security teams should treat zero trust as a continuous access decision, not a one-time login check.
Q: Why do AI agents create risk in Zero Trust environments that were built around human behavior?
A: AI agents create risk because Zero Trust depends on observable patterns, and agents do not behave like people.
Q: What breaks when session controls are missing in zero trust access models?
A: Zero trust loses much of its value if authentication happens once and the session is then treated as implicitly safe.
Practitioner guidance
- Define last-mile control points Map where your current zero trust design stops.
- Classify non-human access paths Inventory which internal applications, APIs, and data sources are already consumed by AI agents or other NHIs.
- Test unmanaged-device assumptions Review where BYOD, contractor, and acquired-team access depends on device trust that the enterprise cannot actually enforce.
Bottom line: Most zero trust deployments still leave a gap between application entry and governed session behaviour, and that gap now matters for both human and non-human identities.
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01/08/2026 9:04 pm
Last-mile zero trust is now an identity governance problem, not just a network architecture problem. Once access decisions move from the perimeter into the session, the central question becomes what an identity is allowed to do after authentication. That is where human users, contractors, and NHI workflows converge. Practitioners should now judge zero trust by whether it governs action, not just entry.
A few things that frame the scale:
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: How do teams govern unmanaged devices, contractors, and AI access under one model?
A: They need a policy engine that evaluates identity, device posture, and context at the point of use, then applies the same session rules across managed devices, BYOD, contractors, and non-human identities. The goal is consistent governance without forcing every access path into the same operational shape.
👉 Read our full editorial: Zero trust access at the last mile now has NHI implications