Stopping Fraud with Machine Learning & Phone Intelligence
Stephen Wai, Jeff Sakasegawa

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.