There's many reasons why anti-money laundering (AML) teams should pay attention to graph analytics. For starters, money laundering schemes are only going to continue evolving and becoming more complex. After all, money launderers excel at blending in. Without the right technology, it can be difficult to identify money laundering rings and signal suspicious activity. That's why traditional methods of investigation just aren't cutting it - and it's costing organizations billions of dollars per year.
We took a closer look into some of the problems of today's AML compliance technology, how it impacts anti-money laundering efforts, and how graph analytics can provide a path forward for a more effective detection and investigation of AML cases
