ePayAlert is a real-time comprehensive risk and monitoring management system that can help detect and prevent online fraud. It significantly optimizes your fraud management operations by gathering more data about your incoming payment transactions and processes them automatically online and in real-time, thereby minimizing the process of manual review and associated risks.
Product Features
Flexible policy management tailored to different business requirements
Customizable rules and additional parameters can be added upon request
Real time risk alert by email and extendable to SMS
Online and real-time detailed reports and statistics can be downloaded for in-depth analysis
Supports hosted model and total solution model for implementation
Easily implemented web based integrated solution service
Powerful web control panel with multi-lingual support
ePayAlert Risk Profile Controls
ePayAlert processes and checks each online payment transaction with extensive risk parameters in order to detect and prevent online fraud. Different parameters are utilized in order to analyze a wide range of fraud patterns.
Parameter Format Checking - system will assess the customer information such as email address and contact phone number and checks the database for discrepancies
Blacklist Control – checks whether the transaction came from a blacklisted card number, card bin, IP address, or email
Geographical Checking – identifies the origin of the transaction via its IP address and checks if it's consistent with the provided information
Velocity Checking - the system can evaluate and assess suspicious transactions exhibiting abnormal buying behavior
Transaction Limit Checking – sets a daily/weekly/monthly processing limit in order to prevent abnormal buying behavior
Historical Negative Record Checking - the system can check the historical transaction data to block any card or IP address with negative records
Risk Scoring – each risk parameters can be assigned a customized weight level in order to give more importance to risk parameters to counter certain fraud patterns more prevalent in an industry
