Paygilant provides a frictionless mobile fraud prevention solution for fintech and digital banking by utilizing proprietary behavioral maps and device attributes to detect fraudulent transactions in real-time. Their technology analyzes user interactions, device data, and biometric markers to identify anomalies, ensuring secure transactions without compromising user experience.
Funding
Funding not disclosed
UFounders
Product
Problem
Fintech apps and digital banks face increasing mobile fraud, especially during new account creation and transactions. Traditional fraud prevention methods often add friction, hurting user experience and potentially driving customers away. Existing solutions may not adequately analyze user behavior and device-specific data to detect anomalies in real-time.
Solution
Paygilant offers a mobile fraud prevention solution that analyzes user behavior, device attributes, and app interactions to detect fraudulent activities in real-time without adding friction. The technology uses proprietary behavioral maps and device DNA to identify anomalies and distinguish between legitimate and fraudulent activities throughout the user's journey. Paygilant's solution comprises multiple intelligence sets designed to augment the fraud/no-fraud decision that precedes any step-up authentication request. This approach ensures secure transactions while maintaining a seamless user experience.
Target Audience
Paygilant primarily serves fintech companies, digital banks, and payment providers seeking to reduce fraud and improve user experience.
Features
- Device DNA analysis, including device model, OS, IP, geolocation, and app permissions
- Transaction behavioral maps that represent the purchasing patterns of a specific customer and their nearest neighbors using proprietary machine learning algorithms
- Bio marker observation, including touch time, time between touches, size of touch inputs, finger velocity, scrolling pace and drag length, and typing biometrics
- App interaction analysis to determine if user interactions are consistent with legitimate behavior
- User data analysis to compare user accounts on the device with payment cardholder identity or the identity disclosed on a new account registration form
- Fully managed service with a dedicated tech & fraud team
- Fast and easy integration