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Last updated: May 25, 2022

Learn about the risk management categories that can be used when setting up rules in our Fraud Detection solution.


Address verification service (AVS)

AVS is widely used in the US, Canada, and UK to verify the billing address provided by the cardholder with the address on file at the issuing bank.

Only applicable to US and EU credit cards. AVS rules are only applied to charges that include the cardholder's billing address.

Decline list management

A decline list is also known as a blocklist. It rejects transactions based on four attributes: card, IP address, email, and phone number. We manage a global blocklist of cards that have been blocklisted by other merchants, and we block any card that has been blocklisted by at least 3 other merchants.

High-risk countries

A custom list of high-risk countries that helps to prevent transactions to and from more fraud-prone locations.

If you have several businesses associated with your account, you can have a different set of high-risk countries for each of them.

Machine learning (ML) score

A machine learning model trained on all of's data. This model gives a score between 0 and 100 to indicate how risky the payment is – where 0 is not at all risky, and 100 is most risky. To use this, you must send the customer email, IP address and either billing or shipping address data.


Mismatch rules can be configured to trigger when the details of a transaction do not correspond with one another (eg the difference in geo-location between the BIN country and the IP address of the cardholder).


Threshold amounts can be set to trigger a defined action based on the value and currency of a transaction, typically to manage exposure to fraudulent high-value orders.


Velocity rules allow you to automatically trigger actions based on the frequency of transactions with matching attributes over a specific period. These can be set up for a range of frequencies, including daily, weekly and monthly.

Verified information

Information such as email, billing address, shipping address, etc. can be checked against the Dashboard's built-in tools to verify whether the information provided is valid or is potentially fraudulent, depending on the rules and actions set.