Risk, Fraud & Compliance

Can AI Catch Money Laundering in Real Time?

Every year, an estimated $800 billion to $2 trillion in illegally obtained money moves through the global financial system. Banks, payment platforms, and financial regulators spend billions trying to detect it. And for most of the past few decades, the primary tool for catching it was a rules-based system that flagged transactions meeting certain criteria – large cash deposits, international transfers above a threshold, rapid account-to-account movement. The problem is that sophisticated money laundering has long since adapted to those rules. Criminals know the thresholds. They structure transactions specifically to avoid them.