AttackDog for Payment Fraud Detection
Machine learning to enhance fraud prevention
The possibility of fraud emerges if a merchant only depends on the information which was provided by the user during the given process. There's always a chance that the information provided was fraudulent or even stolen. What's the solution for that? A possible way to avoid this is to authenticate the user with additional data provided by the user. Still, users don't like to go through complicated processes and provide more information than the bare minimum. This can create another problem by increasing the churn rates.
Profiling & Blocking
OUR FEATURE AS A COMPLETE SOLUTION TO PREVENT FRAUD
1. DECIDE YOUR STRATEGY
Create rules for your customers based on your industry and their behaviors
2. PROFILE YOUR CUSTOMERS
Transactions will be examined based on the rulesets that you have created
3. BLOCK THE FRAUDSTERS
Measures will be taken based on the data and rulesets to prevent fraudulent behavior
Features:
- Machine Learning
- Fraud Scoring
- Device ID Fingerprinting
- Prevent Chargebacks
- Authenticate, Profile and Block Fraudulent Transactions
