US-based Athena Security is stepping up counter-drone defenses with a new X-ray drone detection system that can expose threats before they enter critical sites.
The system builds on the company’s AI-assisted X-ray workflow, giving operators an early chance to identify hidden drone parts tucked inside luggages.
It uses machine-learning tools to recognize both assembled and disassembled components, along with material signatures tied to drone construction.
Athena built the system in response to cases abroad where attackers smuggled drone parts in pieces and reassembled them inside restricted areas. It is designed for airports, energy hubs, or military sites where early interception of drone components is vital.
“Today’s drones are inexpensive, stealthy, and scalable. Waiting for an incident is no longer a viable defense,” said Chris Ciabarra, co-founder and CTO of Athena Security.
“Our goal is to give critical infrastructure operators a chance to stop threats before they reach the secure perimeter, whether the threat arrives by backpack, cargo bay, or is assembled onsite.”
Toward Layered Defense
According to the company, global drone incidents have surged over 60 percent, with the Federal Aviation Administration reporting a 25.6-percent rise in illegal incursions since 2024.
These underscore the limits of traditional detection and highlight the need for faster, stronger entry-point screenings.
Athena is now putting its AI X-ray drone detection system to the test with federal, state, and local security agencies, running it in real-world checkpoints to see how it performs under operational pressure.
Beyond testing, the company is exploring collaborations with counter-drone specialists, electronic warfare firms, and site security integrators to extend its capabilities.
If all goes as planned, the X-ray system could feed into a layered drone defense network, linking checkpoint screening with proven perimeter sensors and rapid response tools.
