The consumer demand for faster, more secure 24/7 payments continues to challenge payments organizations across the globe. For many organizations, the costs and difficulties of nursing an aging payments platform are now unsustainable. As a result, these organizations are now planning to replace their legacy applications with a faster, more agile solution that can free their business from the constraints of an inflexible payments platform.

​Lusis Payments has set out to help payments organizations simplify and streamline their migration projects, reducing risks and delivering predictable progress milestones. As the innovative provider of TANGO, the mission-critical online transaction processing engine, Lusis Payments is making it much easier for organizations to keep pace with consumer desires for greater convenience, speed, and security in payments.
​

​Q. It really says something that some of the largest banks in the world have chosen TANGO to replace their systems. What's something you want other organizations and financial institutions to know about TANGO as they may be looking at replacing legacy systems?
 
Miller: At Lusis, it boils down to this. We don't care what transaction processing system you had. We want to hear about what functionalities you want for the present and the future. With TANGO, we can build whatever you need with scalability for any of your future needs as well. 

THE CLIENT
This Lusis Payments customer is one of the largest financial institutions in the world. The organization has over 10 million global customers covering several public and business sectors. They provide tailored banking solutions for personal, small business, commercial and cross border payments.

THE NEED: Freedom from a Constraining Legacy Payments Platform
The client's business was becoming severely constrained by their 28 year-old legacy payments system. The high cost of ownership, lengthy
development times, and soaring maintenance challenges became urgent pressures for change. The legacy software was widely utilized throughout the client's vast line of banking services. It was therefore crucial that the new solution would provide a highly extensible architecture, facilitate low-risk migration projects, and have the robustness to handle diverse and high-growth volumes.

Additional high-priority requirements included;

• a demonstrable reduction in application lifecycle costs,
• increased efficiencies in supporting new regulations and scheme mandates, and
• the agility to continually, and rapidly, adapt to changing consumer needs.

By Fabrice Daniel, ​Artificial Intelligence Department of Lusis, Paris, France
http://www.lusisai.com

ABSTRACT
Combining evidence from different sources can be achieved with Bayesian or Dempster-Shafer methods. The first re-quires an estimate of the priors and likelihoods while the second only needs an estimate of the posterior probabilities and enables reasoning with uncertain information due to imprecision of the sources and with the degree of conflict between them. This paper describes the two methods and how they can be applied to the estimation of a global score in the context of fraud detection.

INTRODUCTION
Fraud detection mainly relies on expert driven methods that implement a set of rules and data driven approaches implementing machine learning (ML) models. Both provide an estimate (or a score) for a new transaction to be fraudulent.

While each ML model naturally returns a fraud probability, the experts can also attach a probability to each rule. They can also be automatically calculated from the labeled his-tory. Combining them together produces a global score that can be used in a near real time system to rank a set of trans-actions having the highest probability to be fraudulent. By obtaining this ranking, investigators can concentrate their efforts on the suspect transactions with the highest probability of being true frauds.

The most common approaches for combining scores are summing individual scores or returning the highest score among the trigged rules. This is not entirely satisfactory given that summing scores is equivalent to averaging the probabilities returned by each predictor (rule or model). It also does not take into account the uncertainty of each predictor and the degree of conflict between them.

​For the Lusis fraud system, we work on implementing more appropriate approaches.

​This paper proposes two ways for addressing this problem. The first is to use Bayesian methods [5]; the second is to combine the scores by using Dempster-Shafer theory [6].

As the end of the year draws near we would like to take the opportunity to thank all of our clients, partners and teammates for an extraordinary year, amidst the challenges of the global coronavirus pandemic which has affected families, businesses and communities. Our thoughts go out to anyone who has been impacted by the virus especially those who are sick, we extend our heartfelt wishes for a full recovery.

We have always said “we hold our clients central to our thinking and our actions” and that statement holds true this year more than ever. The success of Lusis Payments is based on the relationships we have built over the years, and we really wouldn’t be where we are without you. Over this past year, as more and more North American financial institutions have called upon Lusis Payments for our technology and services we added our first North American support center in Toronto Canada and have made NA our primary market. Until this year, Lusis had only sales and consulting teams in North America. The addition of this facility and the team assembled will dramatically accelerate new and current project deployments of TANGO.

The need for a cutting-edge, real-time fraud solution has never been so critical as it is now. The world has seen an unprecedented switch from CP (cardholder present), CNP (cardholder not present) to online transactions, which has massively changed the patterns of fraudulent activity for OLTP (online transaction processing). Our clients that process online payments needed the agility to rapidly counteract this industry swing. This year Lusis introduced TANGO AI Fraud (Tango AIF™) to provide a leading-edge solution for fraud monitoring, detection and action — technology that provides the latest methods for processing secure transactions, irrespective of source, nature or market segment. The development has followed years of dedication by our Artificial Intelligence department, created in 2017. As part of our continued dedication to AI, earlier this year Lusis created a research chair in partnership with CentraleSupélec a prestigious French graduate engineering school of Paris-Saclay University. Through this partnership, Lusis and CentraleSupélec are strengthening their collaboration in the field of artificial intelligence applied to the banking sector.

This summer Lusis also announced further expansion as we increased our presence in Mexico and select countries of Latin America. We were excited to introduce Mercedes Fabila as the newest addition to our sales executive team. Fabila joined the company as the Director of Sales, Mexico and Latin America.  

Our most exciting news for the year was the new release of TANGO Version 8. TANGO V8 is a major upgrade that provides full microservice integration and complete Cloud capacities. The new features bring expanded capacities and even greater flexibility for delivery. Please contact us directly for a one-on-one presentation of TANGO’s full capabilities and new capacities.

Recently, we were able to interact with several clients, partners and friends during the Virtual NonStop  Technical Bootcamp. Through zooms or instant messages, we were happy to answer questions and be able to say hello to colleagues in the industry. Our presentation “Today’s Payments Market: Creating Opportunities from Challenges” is still available for viewing through the Whova app.
As the new year approaches, we know there will be many new challenges ahead. We welcome all that 2021 has in store for us with enthusiasm and anticipation for all the opportunities around the world.

From the whole team at Lusis Payments we wish you all Happy Holidays!

Please sign up ahead of time for our presentation: Today’s Payments Market: Creating Opportunities from Challenges - November 17th at 12:15 PM PST.

Payment processing today is evolving at a rapid rate. It’s not just the technology, allowing more transactions to be generated through new channels. New players are constantly emerging in the marketplace and using new technology to provide exciting new financial services to consumers, who are less loyal to traditional financial institutions and are more demanding than ever. Organizations with legacy solutions face increasing costs to maintain/extend while requiring months/years of hard coding for development of new products for market. To keep pace in a dynamic industry and outperform competitors, you need modern, flexible solutions that help streamline new offerings. This presentation introduces TANGO from Lusis Payments, a state-of-the-art technology with unparalleled configurability provided by its microservices-based architecture. TANGO facilitates the rapid introduction of new business and technical services, enables seamless integration with in-house and third-party applications, and facilitates support for current and future payment components. These features combine not only to address today’s challenges, but also to create a modern payments platform to benefit from further technology and business advancements that will inevitably occur in the future.

TANGO’s architecture deeply integrates with some of the modern and core fundamentals of HPE NonStop such as use of OSS and TMF-protected SQL/MX database, and full exploitation of HPE NonStop “process pair” feature through its hypervisor process. The dispatcher functionality works together with HPE NonStop TS/MP to provide scalability and availability, and supports the active/active configuration. This further establishes HPE NonStop as one of the most ideal platforms to run your TANGO payments solution.

Be sure to check out our presentation on November 17th at 12:15 PM PST at the NonStop Technical Boot Camp or visit: lusispayments.com/onewebcast to schedule a one-on-one Zoom call.