Zero Trust AI
An AI security model where no request is trusted by default, and every interaction must be verified, authenticated, and authorized.
Definition
An AI security model where no request is trusted by default, and every interaction must be verified, authenticated, and authorized.
Why It Matters for AI Governance
Zero trust principles applied to AI mean that every prompt is scanned, every response is validated, every tool call is authorized, and every interaction is logged — regardless of the source or destination.
How CrewCheck Handles This
CrewCheck's LLM gateway applies zero trust ai-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that zero trust ai is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into zero trust ai events, with drill-down capabilities for compliance officers and exportable evidence for auditors.