ThreatMetrix's Spring '16 Release to Enhance Business Decisions
SAN JOSE, CA: ThreatMetrix, the digital identity company, recently announced the availability of its Spring ‘16 release. Their new set of products involves the use of advanced analytics tools that will help customers in making better business-oriented decisions.
The smart analytics tools features the pairing of behavioral analytics and machine learning for a more integrated approach toward analyzing the recognition of a user’s digital identity or persona. Further, it includes a new software development kit (SDK) for Apple OS and Microsoft Windows endpoint and desktop applications.
“Our Spring ‘16 Release features the power of advanced analytics to drive richer, faster decision making,” said Alisdair Faulkner, Chief Products Officer, ThreatMetrix. “Our new Smart Analytics capability combines a novel approach to machine learning with behavioral-based analytics–a truly complete and revolutionary advancement in big data analytics for fraud prevention.”
Historically, 75 percent of all cyber and fraud attacks have been financially motivated, resulting in direct financial gain to the criminals. ThreatMetrix’s strong solutions protect customer accounts and assets from fraud with the assistance of ThreatMetrix Global Trust Intelligence Network.
ThreatMetrix integrates information residing in the network, where the components are combined to build holistic online persona that is analyzed against every access request, login, and payment. They then carry an extremely accurate, instantaneous risk assessment for the submitted application requests based on the dynamic real-time data.
“More than 40 percent of our current traffic initiates from mobile devices and this number will soon rise to over 50 percent in emerging economies such as China, South America, and Southeast Asia.” said Reed Taussig, President and CEO, ThreatMetrix. “Often, thousands of varieties of Trojans on Android devices attempt to steal customer credentials, and the information is then transmitted over a 4G network.”
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