{"id":13573,"date":"2024-08-07T03:31:08","date_gmt":"2024-08-07T07:31:08","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13573"},"modified":"2024-08-07T03:31:08","modified_gmt":"2024-08-07T07:31:08","slug":"how-visa-employed-artificial-intelligence-to-check-40-billion-in-fraud-as-scammers-also-take-to-ai","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-visa-employed-artificial-intelligence-to-check-40-billion-in-fraud-as-scammers-also-take-to-ai\/13573\/","title":{"rendered":"How Visa employed artificial intelligence to check $40 billion in fraud as scammers also take to AI"},"content":{"rendered":"Originally published on cnbc, July 25, 2024. KEY POINTS Visa is using artificial intelligence and machine learning such as risk scoring to counter fraud, the firm said. \u201cWe look at over 500 different attributes around [each] transaction, we score that and we create a score \u2013that\u2019s an AI model that will actually do that. We do about 300 billion transactions a year,\u201d said James Mirfin, global head of risk and identity solutions. Fraudsters are using generative AI to make their scams more convincing than ever, leading to unprecedented losses for consumers, according to a Visa report. Payments giant <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-visa-employed-artificial-intelligence-to-check-40-billion-in-fraud-as-scammers-also-take-to-ai\/13573\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published on cnbc, July 25, 2024. KEY POINTS Visa is using artificial intelligence and machine learning such as risk scoring to counter fraud, the firm said. \u201cWe look at over 500 different attributes around [each] transaction, we score that and we create a score \u2013that\u2019s an AI model that will actually do that. We [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-13573","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13573","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13573"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13573\/revisions"}],"predecessor-version":[{"id":13575,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13573\/revisions\/13575"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13573"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13573"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13573"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}