Screening rules that stop the transactions worth stopping without turning away good customers.
Fraud tools are usually judged on how much fraud they block. The more useful measure is total cost: fraud losses plus the revenue lost to declined good customers. Rules that are too aggressive quietly cost more than the fraud they prevent, and the loss is invisible because a declined honest customer simply does not come back.
Flag repeated attempts from the same card, device or address in a short window.
Decline or hold on billing address and security code mismatches, with tolerance you control.
Restrict or review by issuing country or card type where it fits your business.
Hold borderline transactions for a human decision instead of a hard automatic decline.
Hold suspicious transactions first and watch what the queue contains before you start rejecting outright.
Track fraud losses and false declines together. Optimising one alone will cost you money.
New product lines, price changes and promotions all shift what normal looks like.
It reduces genuine-fraud disputes. It does not affect friendly fraud, delivery complaints or subscription disputes, which are often the larger share.
Automated rules run in milliseconds. Only transactions routed to manual review are delayed.
You do. We configure them with you and revisit them once there is real data.
Send a recent statement, or your monthly volume and average ticket. You get a written breakdown back — no commitment.
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