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Jeff Sakasegawa

Trust and Safety Architect | Sift

Jeff Sakasegawa is a Trust and Safety Architect for Sift. He has spent over ten years fighting fraud for Google, Facebook, and Square. He's excited to be a part of Sift and helping to democratize access to best in class machine learning to protect payments, maintain content integrity, and defend accounts.

Jeff's Sessions

On-Demand

Available to start watching on September 29

Stopping Fraud with Machine Learning & Phone Intelligence

Login Attempts make up 3 of every 4 transactions a company has with its customers. How can we make this experience more user-friendly while also keeping fraud at bay? The answer is risk-based analysis to determine when to challenge and user with step-up authentication. This talk will go over how Sift uses Machine Learning and Twilio Lookup Phone Intelligence to provide a context-based approach to authenticating users at login.

Paid (All-Access)
Developers and Engineers
Line of Business Leaders
Product Managers
Solutions Architect
Best Practices
Industry Trends
Technical Talks
Intermediate (201)
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Digital Transformation Use Case
Industry Trends
Trusted Communications
On Demand
Talk - 30 min