Doxing Dark Money: Entity Resolution to Empower AI in Anti-Fraud

🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 8, 2025) Session Title: Doxing Dark Money: Entity Resolution to Empower Downstream AI Applications in Anti-Fraud Speaker: Paco Nathan, Principal DevRel Engineer, Senzing Talk Track: Agents in Production Abstract: An estimated $3 trillion USD flows annually through shell companies and tax havens—fueling global corruption, money laundering, and criminal networks behind cyberattacks, human trafficking, and disinformation campaigns. In this eye-opening session, Paco Nathan (Senzing) explores how entity resolution technology powers large-scale anti-fraud and investigative workflows that help track, disambiguate, and expose hidden financial networks. Paco walks through how investigative journalists, regulators, FinCrime analysts, and law enforcement teams use graph analytics and AI-driven workflows to handle massive, real-time data streams. He’ll share examples of production-grade infrastructure used in air-gapped environments that merge or disambiguate billions of graph elements within milliseconds — enabling actionable intelligence at global scale. This talk also highlights how open-source tools, multimodal agentic workflows (e.g., BAML), and transparent data practices can strengthen efforts to fight kleptocracy, expose criminal tradecraft, and empower data professionals to make a difference. What you’ll learn: • How graph technologies and AI agents are combined to fight FinCrime and corruption • How entity resolution powers real-time investigations at massive scale • Open data sources and techniques used to uncover dark money networks • How similar approaches can identify high-value customers and insights in enterprise settings.