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Incognia

HQ: Palo Alto, United States

Founded: 2020

Incognia offers a mobile-native solution for risk-based continuous authentication to distinguish legitimate users from fraudsters. Incognia provides a highly precise risk-score with supporting evidence and a confidence rating based on the correlation of current and historical user location behavior and device intelligence based on data from over 150 million devices.

Fraud Solution Profile

Zero-Factor Authentication (0FA) offers a mobile-native solution for risk-based and continuous authentication that works silently in the background, requiring no action from the user. Users only have to opt-in for location services. Leading financial services Apps that followed the best practices are achieving opt-in rates above 90%.

As a result, mobile users are no longer forced to compromise security for convenience. Taking advantage of the technologies and sensors on today’s mobile devices, 0FA makes use of network, location and device data from the mobile device to accurately detect low-risk and high-risk users which makes the Incognia 0FA a strong alternative to OTPs.

Each user’s location behavior pattern is unique, and made up of frequently visited “trusted locations.” According to data from Incognia’s network of more than 100 million devices, 90% of legitimate user logins and 89% of sessions on bank and fintech apps occur from a trusted location. Location solutions based solely on GPS are easily spoofed and offer less precision, particularly indoors. Incognia’s approach to location detects location spoofing and is accurate within 10 feet.

Incognia Zero-Factor Authentication (0FA) offers a mobile-native solution for risk-based and continuous authentication that works silently in the background, requiring no action from the user. Users only have to opt-in for location services. Leading financial services Apps that followed the best practices are achieving opt-in rates above 90%. As a result, mobile users are no longer forced to compromise security for convenience. Incognia provides rule-based evaluation of network, location and device signals to distinguish legitimate users from fraudsters. Using data from GPS, WiFi and Bluetooth, Incognia provides a highly precise risk-score in real time with supporting evidence and a confidence rating based on the correlation of current and historical user location behavior, device intelligence data, and a fraud watchlist based on data from over 150 million devices using Incognia.

Customers

Will Bank


Industry
Ecommerce, Financial Services, Insurance

Primary Functionality
Identity & Authentication

Fraud Type
Account Takeover, KYC & AML, Loyalty or Promo Abuse, New Account Fraud, Synthetic Identity Fraud

Technology
Behavioral Biometrics, Machine Learning, Multi-Factor Authentication, Rules Engine