A team at USC’s Information Sciences Institute is building a system called GROAT (Generating Realistic Operations with Adaptable TTPs) to outsmart money laundering schemes by anticipating them and training systems to catch them. GROAT is led by Stephen Schwab, Senior Supervising Computer Scientist and Research Director for Strategic Directions for Networking & Cybersecurity Division at ISI, serving as principal investigator, with co-principal investigators Michael Collins and Mayank Kejriwal. GROAT is part of a larger DARPA program called Anticipatory and Adaptive Anti-Money Laundering (A3ML), whose goal is to eliminate global money laundering by replacing slow, manual analysis with algorithmic detection, while preserving privacy. The program is divided into two teams: blue teams build detectors, and red teams, such as the USC-ISI team, build the threats those detectors must find. GROAT works in layers, starting with the Money Laundering Atom Matrix, a knowledge base built from court records, investigative journalism, and consultation with domain experts that breaks money laundering into discrete building blocks called “atoms.” The next layer is the TTP generator.