Paygilant

Frictionless Mobile Payments
Fraud Detection

Sales Manager

Kritsakorn Kucharoenpaisan

Telephone

+66 (0)87-516-3403

email

 kritsakorn.k@magicsoftware.co.th

Hybrid Mobile Fraud Detection and Prevention Solution

Paygilant is a leading provider for frictionless digital fraud prevention. Paygilant’s technology protects challenger banks, retailers and digital wallet providers from fraud, while ensuring a smooth frictionless customer experience.

Using an easy-to-integrate patented technology which utilizes six proprietary intelligence sets, Paygilant simply triggers a real-time risk score, together with a “risky” alert when fraud is detected and a “safe” one when the legitimate customer has been successfully authenticated.

By integrating, correlating and analyzing six separate fraud intelligence sets, Paygilant determines, whether a digital based transaction is legitimate or fraudulent. Paygilant operates at several data layers including user behavior, user device, user transaction and human/non-human activity. This is used to weave an identity representation of the user, providing a score that indicates the risk level of the transaction. Paygilant’s unique fraud methodology consists of multiple intelligence sets including App Insights, Bio Markers, Activity Map, User Space, Device DNA and Transaction View.

Paygilant’s Six Intelligence Sets that Authenticate Customers and Determine Digital Fraud
Device DNA – The next generation of Device fingerprinting. Unique attributes are formed into a robust ID, used to determine whether the device is genuine or fraudulent.
Device DNA – The next generation of Device fingerprinting. Unique attributes are formed into a robust ID, used to determine whether the device is genuine or fraudulent.
App Insights – A cross-reference analysis which correlate application based activities with internal and external data sources – The next generation of Device fingerprinting. Unique attributes are formed into a robust ID, used to determine whether the device is genuine or fraudulent.
Users Space – Measures the user’s environment to determine whether the device is in use by a fraudster or a legitimate customer. Special characteristics distinguish between normative and non-legit usages.
Activity Map – Builds a unique individual interaction with the application, which seamlessly authenticates the legit user while discarding fraudulent attempts to mimic it.
App Insights – A cross-reference analysis which correlate application based activities with internal and external data sources – The next generation of Device fingerprinting. Unique attributes are formed into a robust ID, used to determine whether the device is genuine or fraudulent.
Paygilant Performance Insights Dashboard
Fraud Monitoring Analytics

 

  • Full and detailed view of each transaction analyzed
  • Meaningful overall insights and flexible reporting
  • Transparency of the risk calculation
Advanced Fraud Analysis/h6>

 

  • Full and detailed view of each transaction analyzed
  • Meaningful overall insights and flexible reporting
  • Transparency of the risk calculation
Paygilant Solution For Financial Institutions

(Including incumbent banks, challenger banks, neo banks) and mobile wallets.

Paygilant Solution For Retail
Paygilant’s Protection Throughout the User’s Journey

Every step in the user’s journey is an opportunity for a fraudster to commit fraud. Fake accounts, credential compromising, SIM-SWAP, payment fraud and other are generated by fraudsters well before a user completes a transaction.

Paygilant continuously reviews the user activity at multiple checkpoints throughout the user’s journey, to determine if fraudulent activity is taking place. Thus preventing fraud long before the actual transaction is completed.