Webinar

Using 100+ signals to capture 100M fraudsters

Over 100 behavioral and technical risk signals can be captured in every verification. Knowing how to use them poses a significant challenge for fraud teams, especially those who want to catch synthetic IDs and GenAI-driven fraud without blocking legitimate users.

This webinar breaks down how to stack signals for better fraud detection.

We'll cover:

  1. Signal categories worth capturing: Technical attributes (e.g., VPN usage), behavioral data (e.g., gyroscope), and calculated measures (e.g., session switching patterns).

  2. Signals you may not be capturing yet: New standards promoted by app stores, plus behavioral indicators that change as GenAI usage spikes.

  3. High-impact combinations: Get insights into multi-layered fraud rules based on real customer experiences.

You'll walk away with practical examples of signal stacks that catch more fraud and a framework for testing combinations in your own workflows.

PJ Rohall
PJ Rohall
Co-founder of About Fraud
Brandon Chen
Brandon Chen
Product marketing manager at Persona
John Watkins
John Watkins
Senior director of fraud analytics and data science
Ryan Hunter-speaker-image
Ryan Hunter
Director of identity & fraud strategy at Bilt Rewards

Complete the form to access the online event recording