Paygilant enables payment providers to leverage the SCA exemptions. Its sophisticated transparent authentication solution prevents payment fraud and dramatically enhances the customers experience. Paygilant uses a unique SmartRisk methodology that combines Device Fingerprinting, Behavioral Biometrics and Transaction Analysis to determine if a transaction is legitimate (or not).
The Paygilant overview data sheet outlines what makes Paygilant solution unique and superior to the competition. The document exposes Paygilant secret sauce – its six intelligence sets that work in harmony to identify fraudulent behavior in milli-seconds.
Contextual multi-dimensional authentication (CMA) is a new approach for mobile payment verification that integrates large amount of data and uses machine learning to generate a risk-score. Paygilant’s CMA approach – SmartRISK ingests a wide range of fraud indicators: behavioral biometric, device fingerprint, transaction data, and more to generate a risk-score to distinguish between genuine/fraudulent activities throughout the entire user-journey.
The Stopping SIM SWAP in Its Tracks Datasheet outlines Paygilant’s ability to curb SIM SWAP.