The threat of money laundering between highly-coordinated networks of cyber-criminals is growing year over year. These intelligent attacks involve complex interactions between multiple accounts and players, and they often result in massive financial loss and reputational damage for companies across a host of industries.
Today, companies are forced to walk a thin line – keep costs down and risk high regulatory fines, or pay top dollars to stay compliant. U.S. financial institutions alone spent an astonishing $8 billion on anti-money laundering compliance in 2017.
DataVisor’s industry-leading machine learning model is the premier solution to stop would-be attackers and sophisticated crime rings before they cause harm. UML detects hidden networks of suspicious activity by looking at enormous quantities of data across accounts, customers, and time. Malicious patterns are spotted, and criminals are thwarted.