Out-Thinking Hackers With Adaptive AI PYMNTS.com

Whether the objective is teaching behavior to kids, being an effective team member, or building more impenetrable cyber defenses, learning from a good example works. This is pertinent to artificial intelligence (AI) in finance, where enhanced forms like adaptive AI are fulfilling the technology's promise by actually "learning" -- foremost from the behavior of legitimate deposit account holders -- so that hackers stand out when they make a move. Emerging uses of adaptive AI and other new tech is set out in the new FI Fraud Decisioning Playbook, a PYMNTS and Simility collaboration, as financial institutions (FIs) and their clients ready for reopening by modeling good customer behavior to help identify bad actors. The inaugural FI Fraud Decisioning Report takes a keen interest in asymmetries between good customers and cyberthieves, as the two groups' data footprints are quite different. "Fraud decisioning strategies are more effective when the data gathered and analyzed includes high-quality evaluations of legitimate customers," the report states.