Kris Osborn
Drone swarm attacks are designed to be essentially indefensible, as they overwhelm enemy radar, blanket areas with explosives and use simple redundancy and volume to defeat a wide array of integrated defenses. The threat has only continued to intensify at a staggering pace as warzone innovators integrate new levels of autonomy, guidance and weaponry into large, fast-moving and increasingly “coordinated” groups of attack drones.
Certainly the Pentagon and others have noticed the impact small drones are having upon the war in Ukraine, and it is by no means surprising that DoD is massively revving up its counter-drone effort. This involves formal partnerships with universities, industry partners and military innovators to help identify, fast-track and deploy cutting edge methods of defending fixed sites, Forward Operating Bases and even armored formations on the move.
The cutting edge of C-UAS, as it is called, is increasingly involving AI to exponentially increase the speed, efficiency and lethality with which drone swarms can be countered. By essentially bouncing incoming sensor data off of a vast data base, performing analytics and organize otherwise disconnected sets of data, an AI-enabled system can massively fast-track, streamline and optimize C-UAS.
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