Yigael Berger, Head of AI at Sweet Security, shares insights into the application of large language models (LLMs) for cloud security. He discusses the gap between LLMs' potential and their real-world effectiveness, especially in anomaly detection. Berger explains how LLMs analyze event sequences to enhance accuracy while managing noise. He also addresses the challenges SOC teams face with false positives and negatives, emphasizing the psychological barriers to embracing AI in security. Ultimately, he posits that LLMs may tip the balance in favor of defenders in the cybersecurity battle.