Fraudonomics. Why It Makes Sense to Look beyond Synthetic Fraud

In this webinar, industry leaders Fang Yu, CTO of DataVisor, Mark Luber, USIS Chief Product Officer at Equifax, and Mike Valdepenas, Head of Fraud, Revolut discuss:

How identity trust plays a key role in penetrating the shroud of online fraud
How machine learning can be used to detect where stolen identities are being used
Why stolen identities escape systems without advanced machine learning models
The best practices to guard your business against fraud attacks that use identity theft

Meet the Speakers

Fang Yu

Co-Founder and Chief Product Officer

DataVisor

An accomplished researcher, author, and conference contributor, Fang Yu is widely-regarded as one of the most influential figures in the fields of artificial intelligence, machine learning, and big data security. Fang currently holds over 20 patents.

Mark Luber

USIS Chief Product Officer

Equifax

Mike Valdepenas

Head of Fraud

Revolut

About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.

As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.