Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station operations and sends signals to incoming trains, letting them know when they can enter the station.

The quality of the information that the AI offers depends on the quality of the data it learns from. If everything is happening as it should, the systems in the station will provide adequate service.

But if someone tries to interfere with those systems by tampering with their training data—either the initial data used to build the system or data the system collects as it’s operating to improve—trouble could ensue.

An attacker could use a red laser to trick the cameras that determine when a t

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