Nets Fraud Ensemble uses machine learning to reduce fraudulent transactions. In initial pilot programmes, it reduced fraudulent payments by 25% within weeks and up to 40% in the long-term, according to the press release.
Nets, a leader in the European payments industry, has collaborated with multinational professional services provider, KPMG, to develop Nets Fraud Ensemble, a next-generation fraud monitoring and prevention solution.
As the total annual value of fraudulent transactions across Europe hits €1.8 billion, the need to step up fraud prevention, particularly in card not present (CNP) transactions, has never been greater. Reducing transaction fraud is an increasingly convoluted and nuanced business, however, as factors such as the mass adoption of e-commerce, increasing cross-border payments, and the growing popularity of new digital payment methods combine to add new layers of complexity.
Nets Fraud Ensemble is an AI powered anti-fraud engine that assists fraud prevention teams to navigate this ever-changing landscape in real time.
„By deploying true machine learning (i.e. a system that identifies emerging fraud indicators as well as established patterns), it represents a significant step forward from the rules-based models that are currently in use across the international banking industry.”, the company said.
Sune Gabelgård, Head of Digital Fraud, Intelligence & Research, Nets, comments: “Although initiatives such as 3D-Secure have done much to make it more secure for people to shop online across Europe, the industry still faces challenges. Many issuing banks have focused on fraud prevention through consumer education, but the industry must also tackle the problem where it starts and where it is orchestrated by organised criminal enterprises: on the internet.”
“Nets has significant and proven capabilities in fraud monitoring and prevention, and has been utilising AI in this area for several years. Nets Fraud Ensemble takes this to the next level. It brings security and value to issuers, merchants and cardholders by blocking fraudulent card-present and card-not-present transactions in real time, creating a real societal benefit by keeping illegally obtained funds out of the hands of criminals. We look forward to our continued collaboration with KPMG to stay ahead of the curve and prevent fraud throughout the value chain.”
The ‘brain’ of Nets Fraud Ensemble consists of multiple models working together to analyse each individual transaction within ten milliseconds – the time frame in which a transaction can be safely blocked. The solution learns from the results of its analysis and adjusts accordingly, meaning the longer that it is operational the more fraudulent transactions are blocked, and the fewer false positives are granted.
The benefits to issuers extend beyond achieving significant reductions in fraud. Nets Fraud Ensemble also decreases operating costs and chargebacks, creating an improved cardholder experience. Furthermore, to balance accuracy with customer convenience, issuers can implement customised decision thresholds to minimise false declines.
Bent Dalager, Nordic Head of NewTech and Financial Services, KPMG, adds: “In terms of tangible reduction of fraudulent transactions, Nets Fraud Ensemble is surpassing all other products currently available. The development of Fraud Ensemble and its state-of-the-art algorithms is the result of Nets’ and KPMG’s combined innovation capabilities, AI experience and fraud monitoring and prevention expertise. It’s a big step forward in the use of AI to fight fraud.”
„Tendinţele pe care le-am remarcat înainte de începerea pandemiei s-au accelerat pe perioada stării de urgenţă. Am văzut acest lucru ca o oportunitate, un tipping point pentru bancă. Post-pandemie nu avem cum sa ne întoarcem la comportamentul financiar pe care îl aveam până în februarie a.c. Relaţia românilor cu online-ul s-a schimbat. In plus, cardul fizic se va dematerializa. Vom asista la o scădere a cererii pentru cardurile fizice, respectiv la o creştere a preferinţei pentru componenta digitală a acestora.”