The increasing sophistication of digital fraud, combined with the rapid growth of instant payment ecosystems, has significantly elevated financial risk exposure for banks and financial institutions. The proliferation of mule accounts, rising regulatory scrutiny from authorities such as the FIU and Central Banks, and the growing complexity of compliance requirements have made fraud detection and monitoring more challenging. At the same time, legacy fraud and AML systems often operate in silos, resulting in disconnected processes, high false positive rates, and a heavy manual workload for case investigations. These limitations not only slow response times but also drive up operational costs, leading to a high total cost of ownership (TCO) for traditional fraud management tools
