works in the financial industry with AI

In the fight against money laundering, many institutions continue to rely on monitoring systems based on rigid rules and fixed thresholds. These methods, while useful for detecting obvious patterns, often miss more discrete signals that, when combined, can reveal complex and sophisticated schemes for concealing illicit funds.

In this whitepaper we analyze how criminal networks are mutating into less obvious operations: smaller transactions, reactivated dormant accounts and legal structures designed to evade traditional radars. You will discover why it is key to change the approach and how adding contextual analysis, adaptive rules and collaboration between areas can make the difference to stay ahead of these crimes.