Can't find that perfect gift? Blame the bots. Issue 3 (March 2021)

• Record Type: Journal Article
• Authors: Somanath, Gayathri
• Is Part Of: Computer fraud & security. Issue 3(2021)
• Page Start: 6
• Page End: 8
• Publication Date: 2021-03
• Subjects: Computer crimes -- Periodicals; Computers -- Access control -- Periodicals; 364.168
• DOI: 10.1016/S1361-3723(21)00028-2
• Languages: English
• ISSNs: 1361-3723

Abstract

Abstract : Online fraud rings and retail scalping outfits are increasingly turning to automation and artificial intelligence (AI) for the same reasons that businesses in every industry have embraced these technologies. Simply put, deploying smart machines allows businesses to become more accurate, more efficient and more profitable. In the end, bad actors who work to take advantage of online brands and retailers are entrepreneurs. They embrace innovation and new ways of expanding their portfolios – and their success. Online fraud rings and retail scalping outfits are increasingly turning to automation and artificial intelligence (AI). As much as 70% of traffic to ecommerce checkout pages is generated by malicious bots. Retailers need to turn to machine learning and a powerful data platform, combining a robust fraud solution that can differentiate legitimate from fraudulent transactions with a flexible tool that can understand and monitor complex business policies, explains Gayathri Somanath of Signifyd.