Using 100+ Signals to Capture 100M Fraudsters
Over 100 behavioral and technical risk signals can be captured in every
verification. But knowing which ones to use and combine can be difficult.
In this webinar, three fraud and identity practitioners break down how to
stack signals to catch synthetic IDs and GenAI-driven fraud without
blocking legitimate users.
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WHAT WE 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.
- A framework for backtesting signal stacks in your own workflows
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- SPEAKERS
- Brandon Chen — Product marketing manager, Persona
- John Watkins — Senior director of fraud analytics and data science, Ally
- Ryan Hunter — Director of identity & fraud strategy, Bilt Rewards
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- You'll walk away with practical examples of signal stacks that catch more fraud and a framework for testing combinations in your own workflows.