Zero Trust for AI in Defense Networks
Cyber Defense Magazine, Monday, June 15th, 2026
AI in defense networks must be treated as a governed mission system secured by zero trust from the start, not secured later.
In defense environments, AI is risky precisely because it is useful: useful tools get connected, and connections touch sensitive data, missions, and consequences.
The article argues AI cannot be dropped into workflows and "secured later" on networks like NIPRNet, SIPRNet, or JWICS. Instead, AI must be treated as a mission system that is bounded, monitored, authorized, and continuously governed from the start. Zero trust architecture, the Risk Management Framework, and continuous authorization provide the foundation for safely deploying AI in high-stakes Department of Defense settings.
The author, Joe Guerra of FEDITC, frames the danger as the moment a working demo prompts someone to say "let's connect it."