The fraud protection engine conducts real-time scans on every card payment to detect and prevent fraudulent transactions. By effectively identifying and blocking fraudulent activities, we ensure the security of your business, while allowing legitimate transactions to proceed without interruption.
Our machine learning model has been trained using a vast dataset of millions of transactions, enabling it to assign a risk-based score to each card purchase. This score indicates the probability of a particular transaction being fraudulent, with higher scores indicating a higher level of risk.
We offer you the flexibility to customise and optimise our real-time fraud protection system to best suit the needs of your business.
How can I view fraud analytics?
The performance of our real-time fraud protection model can be observed on the 'Risk' > 'Analytics' page under the Payments tab. The analytics page provides a performance overview of payment success and fraud rates, providing businesses insights into their current performance, for customising their fraud protection strategies based on the latest performance data.
How can I make customised watchlists for individual customers?
Customised watchlists can be created on the 'Risk' > 'Configuration' > 'Watchlist' page under the Payments tab. These watchlists can be configured to trigger Allow, Request 3DS, or Decline decisions based on various data variables, such as an email or card fingerprint.
Watchlist items can be activated, deactivated, or deleted to effectively manage your risk exposure.
It is important to note that items on the Allow or Request 3DS watchlist may be declined per compliance rules.