Webinar
Using 100+ signals to capture 100M fraudsters
Learn how to operationalize over 100 behavioral and technical risk signals to detect synthetic identities and GenAI-driven fraud without blocking legitimate users. You’ll hear from fraud and identity experts Brandon Chen, product marketing at Persona, Ryan Hunter, director of identity and fraud strategy at Bilt Rewards, John Watkins, senior director of fraud analytics and data science at Ally, and PJ Rohall, co-founder at About Fraud.
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:
Signal categories worth capturing: Technical attributes (e.g., VPN usage), behavioral data (e.g., gyroscope), and calculated measures (e.g., session switching patterns).
Signals you may not be capturing yet: New standards promoted by app stores, plus behavioral indicators that change as GenAI usage spikes.
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.




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