What if someone could create fake airplanes, and you’d never know they weren’t real? In this clip, Angelina Tsuboi sits down with David Bombal to unveil Flycatcher, an AI-powered cybersecurity device she built using a Raspberry Pi and SDR to detect spoofed aircraft.

Angelina shares how she combined her passion for aviation and cybersecurity to tackle one of the most overlooked threats in modern flight: the unencrypted, unauthenticated ADS-B protocol. She explains how ghost planes can be injected into airspace and how her neural network model can catch them, all running locally on a Pi with custom Python code.
Whether you’re into ethical hacking, aviation security, or emerging AI applications, this is a must-watch.

Watch the full interview here: Next Gen Hackers are NEXT level 🤯

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