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16 March 2026

What is the 'FlyTrap' Method, and How Can It Disable Autonomous AI Drones?

Nick Mordowanec

Researchers at the University of California, Irvine, said they have discovered a critical security vulnerability in autonomous target-tracking drones claimed to have far-reaching implications for public safety, border security and personal privacy.

That vulnerability is exploited by what they described as the “FlyTrap” method, which employs a physical attack framework that exploits deficiencies in camera-based, autonomous target-tracking technology that enables drones to follow selected targets without being directly controlled by humans. These “active track” or “dynamic track” models in the consumer world are AI-powered and used by local and federal law enforcement to track illegal border crossings, conduct surveillance for security purposes, or for other routine operations.

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