The Perils of Generative AI: Implications for Open Source Intelligence

Explore a 38-minute conference talk from DEF CON 31's Recon Village examining the critical intersection of Generative AI and Open Source Intelligence (OSINT). Dive into the challenges posed by Large Language Models (LLMs) to OSINT research, including data validity concerns, information pollution risks, and source attribution complexities. Learn about the fundamental concepts of Generative AI and OSINT while understanding how LLMs interact with social media platforms and impact intelligence gathering. Discover practical solutions and mitigation strategies, from enhanced data validation techniques to improved AI literacy for OSINT researchers. Gain insights into emerging trends, future implications, and proactive measures needed to maintain OSINT integrity in an era of rapidly evolving AI capabilities. Participate in a concluding Q&A session with the Recon Village audience to deepen understanding of these crucial challenges facing the intelligence and security communities.