In a groundbreaking collaboration between Google Project Zero and Google DeepMind, the 'Big Sleep' agent has identified an exploitable stack buffer underflow vulnerability in SQLite, a widely-used open-source database engine. This discovery marks a significant milestone as it is possibly the first time an AI has uncovered such a memory-safety flaw in real-world software. This bug was reported and promptly fixed, ensuring users went unaffected, emphasizing the potential for AI in preemptive cybersecurity measures and reinforcing defenses before vulnerabilities can be exploited by attackers. The development of the Big Sleep system evolved from Project Naptime with an aim to address the limitations of traditional fuzzing techniques. The AI agent leveraged its capability to analyze recent code changes and evaluate potential vulnerabilities, a process that outperformed existing methods like OSS-Fuzz. The team's recent research demonstrated the AI's ability to not only identify bugs but also provide insights into the underlying causes, paving the way for more efficient bug detection and resolution strategies. While the current phase of Big Sleep remains experimental, it sets a promising precedent for future defensive capabilities utilizing AI. The team's goal is to enhance vulnerability research by integrating AI tools capable of conducting variant analysis and other related tasks more efficiently. This project reflects an ongoing commitment to reducing the gap in security standards across the technology landscape and ensuring robust software safeguarding methods against emerging threats.