Add location behavior and device intelligence to offer trusted users frictionless authentication at onboarding, login and payments.
Eliminate reliance on insecure passwords.
With the large volume of user credentials available for purchase on the Dark Web, passwords are unreliable for user authentication. Unlike static passwords, Incognia enables dynamic, adaptive risk-based authentication for use in passwordless initiatives.
Incognia location behavior and device intelligence, works silently in the background to build a dynamic location behavior pattern, like a location fingerprint, unique to each user. Unlike static credentials the Incognia location fingerprint is constantly changing, making it virtually impossible to fake or forge. Incognia uses this location behavior history to provide risk assessments for login and payment transactions.
The user enters their ID.
Incognia verifies the device and matches the current user location with the location behavior history and provides a risk assessment.
Based on risk assessment, authentication required is adapted. Low risk user is authenticated with no friction, high risk user is provided additional authentication steps.
We make it easy to view and access risk assessment details, with supporting reason codes, in summary and detailed view dashboards.
We provide a lightweight mobile SDK and intuitive APIs to make it easy for you to add location and device intelligence to risk assessments throughout the user journey.
Integrate in minutes using our integration wizard
Work with well-structured and easy to understand API responses
Test in monitor-only mode and view results on the dashboards
Learn insights on the state of mobile app login authentication and the friction of password reset for the top banking and investing mobile apps in the US.
Will Bank, a Brazilian fintech, achieves 80% reduction in account takeover and 90% cost reduction on mobile with Incognia's risk-based authentication...