Over 2,200 hackers tested 8 large language models (LLMs) at DEFCON 31's Generative AI Red Teaming Challenge, revealing key insights into AI behaviors.

Findings highlighted the effectiveness of prompt engineering, potential biases due to human-AI interaction, and LLM reactions to provocative content.

The challenge underscored the importance of involving a diverse range of people in the development and governance of AI technologies.

Public red teaming is touted as a method to inform smarter policy-making and develop evidence-based regulations for AI.

Data from the event has been released for further academic and practical research, with additional collaboration opportunities expected in the future.

The report connects the rise of the Code Era with increased cyber and geopolitical risks, including the advancement of ransomware.

Organizations and individuals are urged to proactively manage cyber threats through improved decision-making, corporate intelligence, and scenario planning.