Rule categories
Learn about the risk management categories that can be used when setting up rules in our fraud and risk management solution.
| Rule | Summary |
|---|---|
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.
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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 Checkout.com 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.
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Machine learning (ML) score | A machine learning model trained on all of Checkout.com's data. This model gives a score between 0 and 100 to indicate how risky the payment is – where |
Mismatch | 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 | 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 | 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. |