Skip to main content
POST
Payment Fraud Detection

Overview

Detecting and preventing fraudulent payments is a critical task for any business that accepts online payments. This AI-based module is designed to help you do that by analysing a range of data points related to each transaction. Using sophisticated machine learning algorithms, this method can detect and flag potentially fraudulent transactions by analysing user data, user behaviour, user device, and other factors. For example, if a transaction appears to be coming from an unusual location or device, or if the user’s behaviour is inconsistent with their past transactions, this method can flag the transaction for further review or rejection. One of the key advantages of this AI-based module is its ability to adapt and learn over time. As it analyses more data and detects more fraud, it can improve its accuracy and efficiency, making it a highly effective tool for preventing financial losses due to fraud. By implementing this method in your payment processing system, you can help protect your business and your customers from fraudulent activity, while providing a seamless and secure payment experience.
“ECOMMERCE LOSSES TO ONLINE PAYMENT FRAUD TO EXCEED $48 BILLION GLOBALLY IN 2023, AS FRAUD INCURSIONS EVOLVE”, according to a recent report by Juniper Research.

Integration Workflow

Greip Payment Fraud Module - Workflow

Greip Payment Fraud Module - Workflow

Body Parameters

object
required
string
default:"JSON"
The format command is used to get a response in a specific format.Expected values: JSON, XML, CSV, or NewlineFor more information please refer to Response Format.
string
default:"live"
The mode command is used to in the development stage to simulate the integration process before releasing it to the production environment.Expected values: live, or test.For more information please refer to Development Environment.
string
The userID command can be used to identify requests sent by specific users to monitor in the Events Page.Expected values: email address, phone number, user id, name, etc.For more information please refer to User Identifier.

Response properties

object
required
string
required
The response status.Expected values: success, or error.
integer
required
Time spent in milliseconds to process the data.

Possible Rules