One of the best bug-hunters in the world is an AI tool called Xbow, just one of many signs of the coming age of cybersecurity automation.
AI researchers at UC Berkeley tested how well the latest AI models and agents could find vulnerabilities in 188 large open source codebases. Using a new benchmark called CyberGym, the AI models identified 17 new bugs including 15 previously unknown, or “zero-day,” ones. “Many of these vulnerabilities are critical,” says Dawn Song, a professor at UC Berkeley who led the work. Many experts expect AI models to become formidable cybersecurity weapons.
Like other parts of the software industry, many cybersecurity firms are enamored with the potential of AI. The new work indeed shows that AI can routinely find new flaws, but it also highlights remaining limitations with the technology. The AI systems were unable to find most flaws and were stumped by especially complex ones.
Artificial Intelligence Cybersecurity Security Vulnerabilities Hacking Machine Learning
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