Risk-based Authentication for Mobile using Location Behavior – An Implementation Case Study

Session Details

In this session, André Ferraz will review an implementation case study of risk-based authentication for mobile, using location behavior as a strong trust signal. André will describe this novel approach to behavioral biometrics that removed friction from 90% of more than 100 million logins for a fast-growing fintech App without a single report of account takeover from user accounts with location-enabled, and while achieving a 0.0013% false-positive rate. André will review the implementation of location identity for risk scoring to illustrate the correlation between location behavior and risk and the opportunities for enabling frictionless login for the vast majority of users.