Derisk360
Glossary

Zero Trust AI

Zero trust AI assumes no implicit trust — every agent action is authenticated, authorised, logged, and evaluated against policy.

Zero trust AI assumes no implicit trust — every agent action is authenticated, authorised, logged, and evaluated against policy.

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ENTERPRISE[ 01 / 02 ]

In regulated enterprise AI

Zero trust extends to tool calls and data field access. Derisk360 implements least-privilege MCP scopes and continuous eval as default architecture.

Key takeaways

Zero Trust AI is essential for governed production AI — not optional for regulated deployments

Pilots that skip this discipline typically stall at proof-of-concept

Derisk360 implements through accelerators with embedded Forward Deployed Engineers

Policy engines and continuous evaluation satisfy model risk and audit requirements

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Common questions about Zero Trust AI

What is Zero Trust AI?
Zero trust AI assumes no implicit trust — every agent action is authenticated, authorised, and logged.
Why does Zero Trust AI matter for enterprise AI deployment?
Zero Trust AI reduces deployment risk and determines whether agents reach governed production in regulated environments. Without it, pilots stall and compliance teams block go-live.
How does Zero Trust AI relate to the 4-Layer Intelligence Stack?
Zero Trust AI maps to one or more layers — context, decisions, actions, or outcomes — in Derisk360's architecture for production agentic systems.
How does Derisk360 implement Zero Trust AI?
Through structured AI accelerators and embedded FDEs who implement zero trust ai in your VPC — with evaluation and managed operations built in from day one.
Is this a software product I can licence?
No. Derisk360 is a services firm. You engage for production outcomes through accelerators and implementations, not shelfware.