Incognia

Incognia

Incognia is a mobile authentication solution that uses location data and behavioral modeling to determine if a mobile transaction is fraudulent or not. It helps businesses fight fraud while enabling frictionless customer experiences.
Incognia image
mobile-authentication fraud-detection location-data behavioral-modeling

Incognia: Mobile Authentication Solution

Incognia uses location data and behavioral modeling to determine if a mobile transaction is fraudulent or not, helping businesses fight fraud while enabling frictionless customer experiences.

What is Incognia?

Incognia is a fraud prevention and authentication solution designed specifically for mobile applications and transactions. It uses location data from mobile devices along with advanced behavioral modeling and risk scoring algorithms to determine if a mobile transaction is legitimate or potentially fraudulent.

Here are some key features of Incognia:

  • Location verification - Incognia confirms if the mobile device is in the same location where the transaction originated, helping detect spoofing and account takeovers.
  • Behavioral biometric engine - The solution builds an anonymous behavioral trust profile for each user by analyzing over 250 risk signals to detect anomalies.
  • Real-time risk scoring - Each transaction is assigned a risk score so fraudulent transactions can be automatically flagged or declined while legitimate ones proceed.
  • Frictionless UX - Incognia enables passive biometric authentication in the background, with no passwords or OTPs required from the user.
  • Quick integration - Incognia offers lightweight SDKs for both iOS and Android along with developer-friendly APIs.

Overall, Incognia allows businesses to fight mobile fraud without compromising on user experience. It combines location intelligence with behavioral modeling for accurate fraud prevention.

Incognia Features

Features

  1. Uses location data and behavioral modeling to detect mobile fraud
  2. Provides step-up authentication when fraud is detected
  3. Integrates with existing apps and fraud systems
  4. Provides SDKs for iOS and Android

Pricing

  • Subscription-Based

Pros

Reduces fraud losses for businesses

Enables frictionless user experience

Easy integration and deployment

Cons

Requires access to sensitive location data

Can flag legitimate users as fraudulent

Behavioral modeling requires large data sets


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