Visa announces generative AI-powered fraud solution

Thursday 9 May 2024 11:28 CET | News

Visa has launched Visa Account Attack Intelligence (VAAI) to combat card testing attacks, reducing fraud and operational losses in real-time for US issuers.


Threat actors use sophisticated technologies, like automated scripts and botnets, to amplify their card testing attacks, exploiting vulnerabilities at an unprecedented scale and speed. These attacks, known as enumeration attacks, inflict operational expenses and USD 1.1 billion annually in fraud losses, accounting for a significant portion of global fraud.

Visa has launched Visa Account Attack Intelligence (VAAI) to combat card testing attacks, reducing fraud and operational losses in real-time for US issuers.

Enhancing fraud detection and prevention with generative AI

To combat account attacks, Visa announced updates to its Visa Account Attack Intelligence (VAAI) offering with the addition of the VAAI Score, a new tool that uses generative AI components to identify and score enumeration attacks. The VAAI Score, which will be available to US issuers first, will help reduce fraud and operational losses by assigning each transaction with a risk score in real time to detect and prevent enumeration attacks in card-not-present (CNP) transactions.

33% of enumerated accounts experienced fraud within five days of a fraudster obtaining access to their payment information. By using generative AI, components to learn normal and abnormal transaction patterns, Visa’s VAAI Score identifies the likelihood of complex enumeration attacks in real-time to help reduce fraud without compromising the integrity of Visa’s performance and accuracy. The tool has been able to reduce the false positive rate by 85% compared to other risk models, as the VAAI Score focuses on specific signals for enumeration allowing for a stronger performance. VAAI Score can help issuers with:

  • Reduced fraud and operational losses: Helps identify complex enumeration attacks in real time which can help reduce follow-on fraud from validated accounts and operational losses due to enumeration such as customer centre calls and card reissuance and help safeguard clients;

  • Improved cardholder experience: Helps identify when legitimate cardholder transactions are not impacted, while giving issuers a tool to proactively decline transactions at risk for enumeration attacks;

  • Real-time transaction scoring: Provides a real-time risk score in 20 milliseconds which can help clients in identifying enumeration and using it in their authorization decisioning when used with a rules engine.

Officials from Visa said that with access to advanced technology, fraudsters are monetising stolen credentials faster than before. Enumerated transactions impact the entire ecosystem, and with the VAAI Score, they’re giving their clients a sophisticated tool that can help prevent cardholder accounts from being compromised and stop fraudulent transactions before they happen.

The VAAI Score model has been trained on more than 15 billion VisaNet transactions and has six times the number of features compared to previous VAAI models to help better assess suspicious enumeration transactions. Visa’s approach uses noisy data to train the highly accurate real time AI model. By evaluating each CNP transaction against enumeration patterns, the new risk scoring model derives a two-digit risk score that helps predict the likelihood of enumeration to help better determine when to approve, and when to decline, transaction.

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Keywords: Card-not-present fraud, generative AI, CNP fraud, fraud prevention, risk management
Categories: Fraud & Financial Crime
Companies: Visa
Countries: United States
This article is part of category

Fraud & Financial Crime


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