FNA’s Will Towning examines BIS Project Aurora’s findings, which reveal that graph-based machine learning doubles the detection of money laundering activity while slashing false positives by up to 85%.

In part two of 'The Power of Payments Data,' FNA explores how graph-based anomaly detection at the system level provides the accuracy, resilience, and agility needed to dismantle sophisticated global money laundering networks.