Fraud Management System: prevention in payment systems
In the digital age, cybercrime against banks and other financial services operators is rapidly increasing, with serious consequences in terms of economic costs, loss of image, and damage to customer relationships . The risk of fraud is expected to increase with the spread of innovative digital payment services and the entry of new Third-Party Providers enabled by the new European regulatory framework.
Instant Payments and PSD2 present great opportunities for new payment experiences, but they also introduce new risks. This is why we have strengthened our solutions with Machine Learning, analysing big data to detect anomalies, reduce false positives and provide advanced end-to-end fraud management approaches.
Prevention cuts costs
Our platform for real-time fraud monitoring and prevention maximises frictionless experience in payments, while mitigating the risk of fraud and vulnerability to cyber-attacks.
An intelligent modular solution
Fighting fraud requires learning, continuous improvement and the application of enabling technology suitable for mitigating risks. Our proposition consists of modular tools to address the different processes and roles involved, all guaranteeing full compliance with standards issued by industry regulators and a high degree of flexibility in adoption.
Monitoring of card operations and other payment instruments
Configurable preventive blocking of high-risk transactions
Reporting of suspicious / anomalous transactions
Implementation of supervised predictive models for the identification of fraud patterns
Behavioural models for Transaction Risk Analysis and SCA Exemption
API interfaces to simplify integration with the client’s application systems
Compose your own platform according to your needs
Monitoring of payment transactions and management of suspicious transactions
Real-time analysis of payers and beneficiaries according to Anti-Terrorism and Anti Money Laundering rules
Compliance with regulatory technical standards for strong customer authentication
Configuring authentication experiences tailored to cardholder
Some of our clients
TAS Lab, our new research department
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 email@example.com 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💡.
TAS strengthens its tools and offering in terms of cybersecurity
Readily Integrate Real-time Fraud Detection within IBM Z-based Payment Systems without Impacting SLAs
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.
3-D Secure 2
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.
Time to integrate real-time fraud detection in your payment systems!
Get in touch to discover how we can help in achieving your business goals