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SMASH® (Smart Antifraud Shield) is a unique fraud prevention framework that answers to the growing need for Enterprise Fraud Management solutions. It “learns to recognize” users of online payment services and their usual behavior in order to detect threats, prevent frauds and protect users. Thanks to SMASH®, businesses that provide transaction services are able to manage anti-fraud processes across different channels.
SMASH® core is based on a unique analysis engine, focused on behavioral analysis algorithms. Thanks to closed algorithms, SMASH® is able to analyze more than one hundred parameters, which are then matched and correlated with the collected information on user behavior. This way, SMASH® determines the risk factor of every transaction in real time.
SMASH® implements different layers as a defense, in line with Gartner’s suggested approach (“The Five Layers of Fraud Prevention to prevent malware frauds”).
SMASH® Analytics also provides a powerful advanced reporting tool, designed in order to provide advanced KPI’s and metrics of the monitored transactions, the trend of frauds and the efficiency of implemented anti-fraud policies.
Moreover, the SMASH® framework is customizable by the user through the policy editor, an integrated tool providing complete visibility and management of the implemented rules. New rules can be effortlessly created according to the business-specific needs of every financial institution.
Leider gibt es für diesen Aussteller kein deutsches Firmenprofil.
XTN Cognitive Security: Trust Your Digital Customer and Protect Your Business.
XTN provides comprehensive fraud prevention, advanced endpoint threat protection, and frictionless multifactor authentication for some of the most world’s most prominent businesses and critical services. XTN continues to invest in R&D efforts to further advance its competencies in developing Artificial Intelligence and Machine Learning based solutions. Thanks to constant research and study of cybercrime attempts, XTN designs innovative technologies allowing companies and institutions to protect their businesses and their customers’ sensitive data.