Find here all our blog posts tagged with: defense AI.

Abstract image of a cockpit panel with a faint network of light overlaid on the horizon, suggesting an AI decision layer inside the aircraft.

Aerospace Has Two Kinds of AI Assurance. Agentic Systems Need a Third.

Certification and model health monitoring both fall short of testing whether an agent's decision loop can be manipulated before it acts.

A technician examines exposed avionics wiring inside a military aircraft during ground testing, lit by cool blue diagnostic light.

Explainable AI for Defense Systems Is Still R&D, Not a Certified Capability

Fresh SBIR funding for real-time model health monitoring shows explainable AI assurance in defense aerospace remains pre-competitive research, not a purchasable safeguard.

A UAV on a floodlit airfield at dusk with a single technician inspecting it, no regulatory or agency presence visible.

Two Defense AI Claims, Zero Independent Verifiers, One Week

KAI's in-house UAV AI verification and Safe Pro's trade-show validation show how little civil frameworks like ISO 42001 or the EU AI Act reach into defense AI assurance.

Split image showing a physical aircraft under test alongside an abstract stream of flowing data particles, symbolizing two parallel tracks of AI certification.

Defense AI Certification Is Becoming a Two-Track Problem

Runtime monitoring is emerging alongside, not instead of, pre-deployment certification, and buyers need to hold vendors accountable for both.

A jet engine glowing with a pulsing blue light in a dark hangar, evoking continuous health monitoring rather than a static inspection.

Airworthiness Doesn't End at Certification. For AI, It Can't.

A new AFWERX contract for real-time model health monitoring signals that AI assurance in defense and aerospace must be continuous, not a one-time certification event.