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Researchers at Stanford University tested an AI bot named Artemis, designed to find and exploit software vulnerabilities. The experiment revealed that Artemis could outperform professional penetration testers in identifying bugs on a real-world network.
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Artificial intelligence hacking tools have made significant advancements, now outperforming some human hackers. Researchers at Stanford University recently tested an AI bot named Artemis, designed to identify and exploit software vulnerabilities, much like certain Chinese hackers who utilize generative AI for cyber attacks. The team spent a year developing Artemis, focusing on its ability to scan networks for bugs and then exploit them effectively.
In a real-world experiment, the researchers deployed Artemis on the engineering department's computer network. They compared its performance against professional penetration testers, who are hired to identify security flaws in systems. This setup was not just a lab exercise; it aimed to measure how well an AI could compete in practical hacking scenarios. The findings were documented in a paper published on Wednesday, highlighting the growing threat posed by AI in cybersecurity.
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