Why AI Hackers Still Fall for Simple Traps

Horizon3 CEO Snehal Antani tells Big Technology that frontier models perform well in lab environments but struggle on networks that actively defend themselves, citing company research showing AI attackers clicked on defender-planted decoys 92% of the time versus 37% for expert human hackers, even when the models suspected a trap. He argues the legitimate AI step-up is faster reverse engineering of patches to weaponize flaws, while agents should be treated as insider threats given excessive permissions and susceptibility to prompt injection.