Monitor the transaction data flow in real time, analyze transaction behavior patterns, including factors like amount, frequency, participants, etc., to identify abnormal or unusual transaction patterns
Identify transaction patterns involving fraud, money laundering, fund misappropriation, or other violations, and abnormal behaviors like sudden increases in transaction volume, frequent cross-border transactions, and transactions that do not match the customer's historical behavior
Generate alerts and notify relevant risk management personnel or monitoring team once detect potential transaction dispute risks. This enables merchant to take necessary measures to reduce potential losses or legal liabilities in a short time
Assess risks with preset rules and machine learning models which will be updated and optimized based on real-time data, to improve the accuracy and timeliness of alerts
