Image courtesy of Nasdaq
In a Motley Fool Live interview, Arkose Labs CEO Kevin Gosschalk explains how the company uses machine learning to detect fraud at scale — scanning billions of account creation and login events to surface low-volume attack signatures that no human team could identify manually. Gosschalk describes a feedback loop where customers share data about missed fraud cases, allowing Arkose's models to identify thousands of similar fraudulent accounts from just a few hundred flagged examples. He argues that ML is indispensable for any fraud defense operating at the velocity and volume of modern digital platforms.
