RSA Helps NewDay Power Fraud Detection and Manage the Growing Digital Risks of eCommerce
RSA Adaptive Authentication for eCommerce enables frictionless payments and reduces CNP fraud in alignment with EMV®3-D Secure
RSA a global cybersecurity leader delivering Business-Driven Security™ solutions to help organizations manage digital risk, announces that NewDay, a leading consumer credit company serving around five million people across the UK, has selected and deployed RSA Adaptive Authentication for eCommerce to deliver advanced fraud protection for digital payments and address the requirements of the EMV 3-D Secure protocol. RSA Adaptive Authentication for eCommerce helps card issuers and payments processors prevent more than 95 percent of fraud in card-not-present (CNP) e-commerce transactions and provide a frictionless authentication and shopping experience for cardholders.
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“As organizations continue to pursue digital transformation initiatives, they must also prepare to manage the digital risks that come with innovation”
In an increasingly digital world, there is a growing consumer demand for secure and simple eCommerce transactions. As card issuers, payment processors and retailers rapidly evolve digital technologies to meet these demands they are faced with the challenge of managing innovation and security. Ambitious digital transformation initiatives introduce new threats and vulnerabilities like CNP fraud, which is on the rise globally, and is expected to reach $6.4 billion by 20211 in the U.S., according to Aite Group.
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With millions of daily CNP e-commerce transactions, NewDay has selected RSA’s fraud detection capabilities and expertise to help provide a consistent, convenient and secure online shopping experience for cardholders. RSA implemented and delivered a flexible solution that catered to NewDay’s specific regulatory considerations, and also in line with the Second Payment Service Directive Strong Consumer Authentication (PSD2 SCA) regulation requirements. Powered by the RSA Risk Engine, RSA Adaptive Authentication for eCommerce leverages advanced machine learning to analyze hundreds of risk indicators and silently authenticate genuine cardholders while challenging only the small number of transactions that are high-risk. As a result, NewDay has achieved a close to 100 percent fraud detection rate and transaction approval rate, along with single-digit customer intervention rates.
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