Get your ticket or log in to build your agenda.

PRO SESSION (API): Fighting Fraud and Friction in Mobile Apps with Location-Based Behavioral Biometrics SDK and APIs


André Ferraz
Incognia, Founder and CEO

André Ferraz is the CEO and co-founder of Incognia. From Recife, a city in the Northeast of Brazil, where he studied Computer Science at the Federal University of Pernambuco. His entrepreneurial career, influenced by the academic work of his father, a researcher in Ubiquitous Computing, began when he was 19. His first company, Inloco, grew from a concept conceived of in a university class into an award-winning location technology company that was recognized by the Institute of Electrical and Electronics Engineers (IEEE), the Association of Computing Machinery (ACM) and Microsoft as the world’s most precise geolocation platform. Today there are 60M+ devices leveraging Inloco’s technology.

Most recently, Andre founded Incognia, a private identity company that provides location-based behavioral biometrics to companies in consumer finance and mobile commerce for frictionless mobile identity verification and authentication. Built on the same privacy-first location platform Andre and his co-founders spent a decade developing, the company enables the use of anonymized location data to prevent new account and account takeover fraud. Incognia’s location technology uses network signals and on-device sensors to deliver highly precise location information without capturing any PII. By building an anonymous behavioral pattern, unique to each user, Incognia creates a private identity used to secure mobile accounts.

Incognia has teams in New York, Palo Alto and Brazil.


Mobile fraud is increasing at alarming rates. Traditional web-centric security defenses based on static credentials and cumbersome two-factor authentication are no longer sufficient for protecting against mobile fraud. To ensure that neither user experience or security are compromised, mobile applications require identification and authentication techniques, specifically designed for the mobile experience, that not only protect against fraud but that are completely frictionless for the user. Location-based behavioral biometrics offers the opportunity for frictionless fraud prevention for mobile users, and the best part is, all the user has to do is be themselves.

This session will explore the use of network signals from GPS, Cell, Wi-Fi and on-device sensors to track location behavior and use for mobile fraud detection without the capture or storage of a user’s Personally Identifiable Information (PII). Developers will learn how their companies can make use of a location-based behavioral biometrics SDK and unique location fingerprints, device integrity and address verification APIs for advanced mobile fraud detection.