Insights

TAS Lab is our new research department which aims to continuously invest in innovation in the financial sector. The purpose of TAS Lab is to design technologically advanced solutions that improve how people use financial services, developing state-of-the-art products to provide banks and companies with a competitive advantage in the market.

The department currently focuses on three main research areas: quantum computing for payment fraud prevention, the development of a new phygital model of bank branches (TAS Remote Teller) and the applications of artificial intelligence to the world of payments.

Quantum computing is an emerging technology that promises to revolutionize the way data and financial transactions are handled. TAS Lab, together with the University of Verona (Italy), is exploiting this technology on concrete use cases to develop advanced solutions for the prevention of payment fraud, which allow banks and financial institutions to manage payment transactions more securely and efficiently.

The phygital bank branch, or TAS Remote Teller, represents a new frontier in the banking sector, which combines the advantages of physical presence with the convenience of digital technology. TAS Lab is exploring how this technology can be used to improve the customer banking experience, guaranteeing the physical presence of streamlined branches on the territory with virtual assistance that allows the user to carry out all the banking operations of a traditional branch in a simple and fast way.

Finally, TAS Lab is investing in artificial intelligence, developing advanced algorithms and machine learning technologies to improve data management and financial transactions.

If you are a research institution, a company or an individual with a passion for technology and innovation and are interested in collaborating with TAS Lab, please get in touch with us to submit your idea. The department is always looking for new projects and solutions.

Contact us at solutions@tasgroup.eu to find out how we can create the future of financial services together.

To write this article we used the artificial intelligence of Chat GPT, starting from our ideas💡.

Cyber attacks suffered by companies and institutions of any industry, including the Finance sector, are constantly intensifying. Statistics show a clear unstoppable increase in both the volumes and the severity of events caused by more and more sophisticated and organized actors. No doubt that cyber- ​​and data-protection are today a top priority for all financial ecosystem companies. In this context, TAS has recently signed two important agreements, the first at Group level with Synopsys and the second with Acronis through the French subsidiary TAS France. The adoption by TAS’ Software Factory of the flagship suite of Synopsys, a leading American company in Application Security Testing, will guarantee the development of secure code using advanced BSIMM (Building Software In Maturity Model) tools and methodologies, further increasing the security of the software provided to our customers. On the other hand, the hosting and cloud computing services delivered by TAS France combined with the management and information security solutions of Acronis, a global leader in cyber protection, will offer an undeniable added value to the customers served by the Sophia Antipolis Data Center: improved customer experience enhanced with greater security and cyber resilience. Find out more about the TAS & Synopsys agreement  Learn more about the TAS Cloud Services & Acronis agreement 

WEBINAR

Detecting fraud within payment systems is one of the top challenges for IT organizations. Integrating fraud detection applications with payment systems can be complex and impact SLAs. IBM and TAS/Mantica have just simplified this effort.

IBM has partnered with TAS/Mantica to bring together the power of their Adaptive Intelligence Platform and Fraud Protection Solution with IBM Watson Machine Learning for z/OS. This impressive combination helps organizations monitor and detect payment fraud in real-time, before a transaction completes, with minimal impact to SLAs.

TAS/Mantica models can be readily deployed through the Watson Machine Learning for z/OS scoring service. The sophisticated models can help organizations drastically reduce the implementation effort of a customized fraud prevention/detection system.

Watson Machine Learning for z/OS scoring includes RESTful APIs and Java and CICS integration that benefit from the high security and performance of the IBM Z platform. Mantica Spark and customized machine learning models, ported to Watson Machine Learning for z/OS, enable scoring directly within an IBM Z application. IBM testing showed performance, measured against different CPU capacity, revealed single-digit millisecond response times and a complete exploitation of available specialized engines. The solution also maintains model quality and performance over time as new fraud patterns emerge.

Join this IBM webinar to learn how these innovative technologies help deliver valuable insight, at the point of transaction, by readily deploying fraud detection models within IBM Z transactional payment applications.

The webinar will be presented by Eberhard Hechler, Executive Architect, IBM and special guest speaker Amedeo Borin, CEO Mantica Italia.

Watch on demand

Optimize the buying experience, increase sales, reduce fraud

As online fraud continues to grow a pace, a trend that has been accelerated by the pandemic, effective, smart, frictionless customer authentication is now vital.

In this white paper we explain how 3-D Secure 2 (3DS2):

- optimizes the buying experience, increases sales and reduces fraud
- offers a smart way to support SCA and SCA exemptions
- has evolved and the key differences between 3DS 2.1 v 2.2
- enables you to turn compliance into a better customer experience.

Download White Paper

Detecting fraud within payment transactions in real-time is one of the top challenges for many IT organizations. IBM and TAS/Mantica have joined their efforts and brought together a solution to help organizations to monitor and detect fraud in real-time within their payments systems with minimal impact on SLAs. Join the webinar to learn how you can apply this powerful machine learning based-solution to your payment processes. The webinar will be presented by Eberhard Hechler, Executive Architect, IBM and special guest speaker Amedeo Borin, CEO Mantica Italia. REGISTER TODAY Download Webinar Details Discover more about MANTICA Adaptive Intelligence Platform, the most effective platform for predictive models, that helps monitor and detect fraud in real-time, exploiting Machine Learning and Big Data technologies. Mantica Adaptive Intelligence Platform is already integrated with Fraud Protect solution by TAS Group.