Visa Inc.’s new analysis, Visa Advanced Authorization (VAA) using artificial intelligence (AI) helped financial institutions prevent an estimated $25 billion in annual fraud—making the global payment ecosystem safer for retailers and consumers. VAA is a comprehensive risk management tool that monitors and evaluates transaction authorisations on the Visa global payment network, VisaNet, in real time to help financial institutions promptly identify and respond to emerging fraud patterns and trends.
Highlighting this breakthrough at the Visa Security Summit in Shanghai, China, Joe Cunningham, Visa Asia Pacific Head of Risk said VAA uses Machine Learning capabilities on every VISA transaction.
“This is our interpretation of AI. It has been around for many years. It is one of the most sophisticated implementations of truly powerful machine learning, which is used on every Visa transaction. Every single transaction, as it flows through our network, in a blink of an eye, we look at it and us asses the probability of that transaction is fraudulent. We give it a score, and it goes to the bank with that information. Vast majorities have low scores which are low risk, but some are high risk. The bank will ultimately decide what to do with the transaction. We have calculated that we save the industry every year, approximately $25 billion because of this AI implementation.”
He added that the beautiful thing about this is as more data goes through our network, the more data that flows, the better the predictions. “We learn from the successful patterns, and we learn from the fraudulent patterns. It feeds itself.”
Visa processed more than 127 billion transactions between merchants and financial institutions on VisaNet last year, and employed AI to analyse 100% of the transactions—each in about one millisecond—so financial institutions can approve legitimate purchases while quickly identifying and preventing fraudulent transactions.
Visa Advanced Authorization is a layer of fraud prevention that can help drive down risk and fraud for financial institutions and retailers, and help reduce friction due to false declines for payment account holders. More than 8,000 financial institutions in 129 countries use Visa Advanced Authorization.
Preventing fraud near the speed of light
Visa pioneered using neural networks modelled after the human brain to power its AI platform to identify possible fraud. This delivers faster and deeper insights through previously unknown correlations. Delivered through Visa Advanced Authorization, retailers and financial institutions benefit from:
- Machine Learning models used for real-time examination of each transaction for indicators of fraud—looking at activities, patterns and more than 500 risk attributes—all in about one millisecond.
- Risk scoring, which Visa shares with the account holder’s financial institution, where the decision is made to either approve or decline the transaction or flag the transactions for follow up with the account holder.
- The ability to identify good transactions even when made by new or infrequent shoppers, reducing the likelihood of false declines.
- Real-time authorisation using integrated, global predictive analytics to identify and prevent fraud.
Visa has kept global fraud rates at historic lows—less than 0.1% —through a multi-layered approach of investing in human intelligence and technology like A.I.; empowering consumers and clients with tools, resources and control to manage risk; and setting governance processes to help businesses and regulators stay nimble.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)