DARPA's Anticipatory and Adaptive Anti-Money Laundering (A3ML) program seeks to revolutionize the fight against money laundering by automating the detection of suspicious financial transactions using advanced algorithms. This initiative focuses on both recognizing existing patterns and predicting future illicit activities, transitioning from a reactive to a proactive stance. A significant motivation for A3ML stems from ongoing financial crimes linked to adversaries like North Korea, emphasizing the critical role of preventing money laundering in curbing terrorism and other global threats while respecting individual privacy.
The way we address these threats today is largely through manual data collection and analysis methods that threaten privacy. We are looking for new technological ideas that preserve privacy while setting a course to end our adversaries' financial warfare.
The US government estimates that half of North Korea's nuclear program is funded by laundered cash. Money laundering finances our adversaries' weapons programs, global terrorism, and the illicit drug trade.
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