US military tests AI drone-tracking system that avoids revealing a ship’s position
The U.S. military has demonstrated a new AI-powered counter-drone system at sea during NATO’s Bold Machina exercise.
The system was developed by officer-scholars at the U.S. Naval Postgraduate School. It was deployed aboard a Dutch Navy combatant craft operating in European waters. The goal was direct: detect and identify small Class 1 drones that are difficult to track, while avoiding emissions that could expose the vessel’s location.
The test highlights a growing operational problem for navies. Small unmanned aircraft are cheap, widely available and harder to spot than larger platforms. They can threaten ships, ports and coastal operations. Traditional detection methods can rely on active emissions, but those signals may also give away the position of the force trying to defend itself. A system that can help crews find nearby drones without adding to their own signature would offer a clear tactical advantage.
The maritime setting also matters. Counter-UAS systems often face tighter constraints at sea, especially on smaller vessels with limited space, power and sensor capacity. Testing the technology aboard a Dutch warship during a NATO exercise suggests the effort is aimed at realistic operating conditions and coalition relevance, not just laboratory performance. That gives the demonstration broader significance as allied forces look for practical ways to strengthen shipboard defenses against low-cost aerial threats.
If the system performs well beyond trials, it could improve close-range protection for naval vessels and strengthen maritime defenses against small drones that are increasingly common, difficult to track and operationally disruptive.