Fraud prevention

The concept

Fraud prevention is the set of rules, scores, and systems a payment platform uses to analyze a transaction before approving it, looking for risk signals such as the use of a stolen card, unusual purchase behavior, or a pattern associated with known fraud.

A poorly calibrated fraud prevention system has two opposite and equally costly effects: approving fraudulent transactions, which generate chargebacks later, or declining legitimate transactions, which needlessly drag down the approval rate and revenue.

How it shows up in practice

You sell an expensive course, high ticket, and your fraud prevention is calibrated to block any unusual purchase. A legitimate student, changing countries, tries to buy and gets refused. He gives up, you lose the sale. A week later, someone with a stolen card buys your product and requests chargeback. Fraud prevention let it through because the rule was set for ticket only, not behavior pattern.

Poorly calibrated generates two opposite damages in the same account: refusal of legitimate transactions, which drops your approval rate and revenue, or approval of fraud, which generates chargeback later. Balance is in applying rules by risk band, not universally.