BioCatch, the global leader in behavioral biometrics, announced today it has launched its next-generation platform to optimize the implementation and performance of behavioral biometrics online and on mobile at the enterprise level.
BioCatch currently protects more than 1 billion transactions per month, helping to significantly reduce fraud and identity theft.
The BioCatch 2.0 release supports extensive scalability requirements that enterprise customers demand, delivering rich data collection of behavioral parameters, and significantly broader identification of remote access Trojans, bots, aggregators, and malware. The new release features fast processing of risk-score calculation, providing real-time behavioral insights, as well as a new graphical user interface for the “Analyst Station”, BioCatch’s flagship analytics tool, enabling fraud teams to further investigate and analyze fraud cases.
“45% of online users experience malware and 25% experience account hacking according to a Kaspersky Lab Consumer Security Risks Survey issued in 2015. Compounded further by threats that are relentless and constantly changing, it is important to go beyond traditional fraud prevention and authentication methods and look for ways to ensure that a person is who they claim to be throughout an entire session, without creating friction in the user experience,” said Eyal Goldwerger, CEO of BioCatch. “Our customers require a solution which can passively and seamlessly distinguish a legitimate user from an imposter, providing information in real-time while preventing false alerts. BioCatch 2.0 is designed to stay ahead of the curve, capturing maximum data points and providing the tools that make it easier for fraud and security analysts to do their job.”
BioCatch 2.0 highlights include:
• Improved Data Collection and Optimized Scoring – Continuous data collection is done not only within pages, but in between pages.
• Faster Processing – Score calculation is done in less than 500 milliseconds with predictable server response times and no spikes. Additionally, failed login sessions are stored and can be used to track bots or fraudsters performing multiple attempts at login with different credentials.
• New Analytics Tools – Search capabilities are expanded to cover more parameters, and analysis of search results is improved. Also included is expanded mobile app analytics, including analysis of mobile users’ tap and acceleration behaviors.
• Enhanced Robotic and Malware Detection – Protection against various aggregators and malware, including Ramnit.
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