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Researchers used Claude AI to analyze and reduce the attack surface of code in 25 open-source projects, discovering 493 potential security issues. Rather than focusing on finding and fixing individual vulnerabilities, this approach maps which code is reachable and restricts access to unnecessary features, making unknown vulnerabilities harder to exploit. The technique improves software security by reducing code exposure without requiring developers to identify every specific vulnerability.
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