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Protecting the Consumer Journey: Combining Device and Transaction Intelligence to Stop Scams and ATO
In this session, we explore how to combine device intelligence with user behavior data and transaction analysis to build a stronger defense against scams and account takeovers (ATO).
You’ll learn how leading organizations are leveraging these complementary data sources to:
- Combine device and transaction intelligence
- Leverage device and behavior biometrics in screening flow for every step of the consumer journey
- Stop scammers before damage is done
Meet the Speakers
Lan Zhang
Lan is a seasoned fraud prevention leader with deep expertise in building and executing end-to-end fraud strategies across payment networks and e-commerce merchants.
She has led key initiatives at Discover, PULSE®, and Radial Inc., where she combined analytics, data science, and advanced fraud platforms to protect customers while enabling seamless user experiences. Passionate about tackling financial crime through systematic, data-driven approaches, Lan brings extensive experience leveraging rule engines, machine learning models, and collaborative partnerships.
Lan now leads the strategy and operations behind innovative fraud solutions to combat emerging threats at scale.
About DataVisor
DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.