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Discover how to revolutionize Dark Web OSINT investigations through AI automation in this conference talk from DEFCON 33's Recon Village. Learn about the challenges analysts face when manually navigating onion links, unstable marketplaces, and fragmented search engines during threat intelligence investigations. Explore Robin, an AI-powered Dark Web OSINT assistant that automates data collection, filtering, and analysis across multiple Dark Web sources. Understand the architecture and design principles behind this tool's scraping and summarization pipeline, and see how it integrates into modern threat intelligence workflows. Master techniques for identifying and prioritizing relevant Dark Web sources without managing dozens of onion links manually, automating collection across multiple search engines and marketplaces, and using AI-driven pipelines to transform raw Dark Web content into analyst-ready intelligence summaries. Examine practical integration strategies for incorporating Robin into existing OSINT and CTI workflows to support investigations, monitoring, and reporting while maintaining human oversight for critical decision-making. Witness live demonstrations showing how this approach reduces time spent on dead links and noisy data while accelerating Dark Web investigations through structured automation.
