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Static Analysis, LLMs, and In-The-Wild Exploit Chains

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Unlocking Security: LLMs in Cyber Defense

This chapter explores the innovative applications of large language models (LLMs) in cybersecurity, focusing on their ability to identify vulnerabilities in resilient systems like SQLite. It highlights a significant Project Zero blog post that showcases LLM capabilities in security research, along with discussions on fuzz testing and the complexities involved in automated vulnerability detection. The conversation reveals the balance between human guidance and AI autonomy in the realm of security analysis, hinting at promising future developments in user-friendly cybersecurity tools.

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