Add location behavior and device intelligence to reduce false positives 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 behavioral biometrics and device intelligence, works silently in the background to build a dynamic location behavior 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, 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
Test in monitor-only mode and view results on the dashboards