Prevent financial losses and protect your business by deploying AI-powered modules that analyze transaction patterns in real-time.
This method helps identify and block suspicious activities, mitigating the risk of fraudulent payments and ensuring a secure experience for both you and your customers.
POST
/
scoring
/
payment
Authorization
string
*
Bearer
Authorization
Required
string
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
object
data
object
*
data
Required
object
format
string
format
string
The format command is used to get a response in a specific format.
Expected values:
For more information please refer to
mode
string
mode
string
The mode command is used to in the development stage to simulate the integration process before releasing it to the production environment.
Expected values:
For more information please refer to
userID
string
userID
string
The userID command can be used to identify requests sent by specific users to monitor in the
Expected values: email address, phone number, user id, name, etc.
For more information please refer to
If your a service provider with “sub-websites” (like Shopify), then provide a unique identification code indicating the website the customer trying to purchase from.
Sample values: 12330098, 01as-aowq-029jd, or abcdefg.
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.