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Visa Announces Improved Payment Card Fraud Detection

Stocks in this article: V

WASHINGTON, Oct. 2, 2013 /PRNewswire/ -- Visa Global Security Summit -- Visa Inc. (NYSE: V) today announced a series of enhancements to Visa's Advanced Authorization (VAA) technology that significantly improve the ability of its global processing network to detect potential electronic payments fraud.

Financial institutions can use the information to more reliably know which transactions to decline in real time, potentially reducing fraud by billions per year, while more confidently approving legitimate transactions to remove friction from payments for merchants and consumers alike.

"Cardholders, merchants and issuers all want to have confidence in the convenience and the security of every Visa transaction," said Mark Nelsen, Head of Risk and Authentication Products, Visa Inc. "The great improvements we've made in Advanced Authorization this year were designed to do just that: fight fraud and its costs to financial institutions and merchants, while also ensuring legitimate transactions are handled with the speed and convenience that consumers and merchants want."

Visa has increased the breadth of each account profile in the Advanced Authorization model by adding more transactional history data, along with additional neural networks to analyze that data. The account profile is a major component of the risk score assigned to a given transaction and provided to the issuer for them to make an authorization decision. The result is more robust performance and improvement of as much as 130% in detecting fraud in debit transactions and 175% for credit transactions.

The enhanced model includes additional risk indicators specific to Automated Fuel Dispensers (AFD) transactions. Visa's network now can pinpoint suspicious activity at a gas station and apply that to all transactions processed through that station. The model also uses account velocity at AFDs compared to that account's normal behavior in the score determination. This can potentially increase the effectiveness of fraud detection in this segment by as much as 266% for debit transactions and 163% in credit.

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