Hosted by Outseer

This session gets to the core of how to detect and disrupt scams earlier by recognizing the behavioral signs in user accounts that indicate risk. Through real-world examples and collaborative exercises, participants will uncover how these behavior patterns appear across industries throughout the scam attack lifecycle. 

1. Lessons from Banking: A fireside chat on how financial services have led the way in detecting suspicious user activity to identify money mule accounts, apply behavioral analytics, and intervene when customer behavior shows signs of potential scam victimization. 

2. Workshop: A hands-on group exercise to explore how assessing behavioral patterns applies across different industries. Work together to build a shared framework for reviewing user activity that helps spot and stop scams earlier. 

3. Cross-Industry Panel: Workshop leaders share key insights and discuss how industries can move toward a common approach for detecting and disrupting scams across the attack lifecycle.