Good Behaviour - Not Bad - is the Key to Fighting Financial Crime
Dave Excell, Featurespace CTO, discusses how regulators need to get up to date and realise that taking a holistic view of behaviour is the best way to find and fight financial crime on Payments Journal.
What’s the best way to catch a criminal? It’s simple. Be on the lookout for good behaviour. Now that might seem counterintuitive. After all, conventional wisdom is that to catch crime, you need to set rules specifying what criminal behaviour looks like. But the latest advances in machine learning show that if you build profiles of what normal, everyday legitimate activity looks like, it’s much easier to spot when something out of the ordinary happens. In other words, criminal activity really stands out.
Adaptive Behavioral Analytics with Machine Learning is helping close the gap; Dave explains how: continue reading on Payments Journal.
Discover ARIC for Anti-Money Laundering
The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen.
About Featurespace – www.featurespace.com
Headquartered in the U.S. and U.K. and with offices in Atlanta, Cambridge and London, Featurespace™ is the world-leader in fraud prevention and creator of the ARIC™ platform, a real-time AI machine learning software that risk scores events in more than 180 countries.
The ARIC platform combines adaptive behavioural analytics and anomaly detection to automatically identify risk and catch new attacks as they happen. The increased accuracy of understanding behavior strikes the balance between improving fraud and risk detection and operational efficiencies, while also reducing the number of genuine transactions that would be incorrectly declined by as much as 70 percent.
Michael Touchton, Featurespace
U.S. Marketing Manager
+1 (423) 364-5491