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Real-time Machine Learning for Preventing Online Fraud

Machine learning isn't just a minor technology improvement – it’s literally changing the game in online fraud prevention. But how exactly does it work and how can it help you drastically improve your fraud prevention practice?

Join this live webinar featuring guest speaker Andras Cser (Vice President and Principal Security & Risk Analyst at Forrester) and Jason Tan (CEO and co-founder of machine learning-based fraud prevention company Sift Science) to get detailed answers to these questions and more.

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Jason Tan | Co-Founder & CEO, Sift Science

Jason Tan is the Co-Founder and CEO of Sift Science, a San Francisco technology company that fights online fraud with large-scale machine learning. He previously served as CTO of BuzzLabs, a machine learning startup acquired by InterActiveCorp. Prior to that, he was an early engineer at two Seattle startups, Zillow and Optify. Jason graduated magna cum laude from the University of Washington in 2006 with a Computer Engineering degree.

Andras Cser | Vice President and Principal Security & Risk Analyst, Forrester

Andras Cser serves Security & Risk Professionals. He is a leading expert on identity management, access management, user account provisioning, entitlement management, federation, privileged identity management, and role design and management. Andras covers cloud security and enterprise fraud management, which have many synergies with identity and access management when an organization needs to protect against risk and wants to manage fraud appropriately. He helps clients develop enterprise strategies for creating business value through identity management, cloud security, and fraud management.