Scam prevention is no longer just about spotting suspicious transactions. It requires recognizing when a customer is being manipulated — and knowing how to respond in the moment.

This NYPAY virtual session explores scam prevention as a two-part discipline: behavioral detection and decisioning. Panelists will examine how AI-driven behavioral signals reveal coercion and intent in real time, and how decisioning platforms translate those insights into practical interventions — from friction and step-up to customer outreach and human review.

Grounded in real scam scenarios, the discussion focuses on handoffs, not overlap: where detection ends, where decisioning begins, and how institutions can design layered defenses that stop scams without unnecessary friction or one-tool thinking.