BioCatch obtains 9 new patents in 2016
BioCatch has expanded its patent portfolio to over 40 granted and pending patents, with nine new patents obtained this year alone.
The company’s IP portfolio expansion was led by its recently filed patent entitled “System, Device, and Method Estimating Force Applied to a Touch Surface,” which covers technology that enables device makers to omit the use of expensive hardware that are traditionally needed to estimate the force and pressure applied to touch surfaces on devices.
Designed for the small screen, the touch-force technology can be used by device manufacturers to collect information from a device and achieve high resolution results of finger touch areas over time without the use of additional hardware.
“Our ‘touch-force’ patent, along with our entire IP portfolio represents true breakthroughs for our industry and they are the result of the almost obsessive focus we place on constant innovation to counter the increasing sophistication of cyberattacks,” said Eyal Goldwerger, CEO of BioCatch.
“The emphasis on mobile in particular reflects how important the platform is to our target customers – from banking, to credit card issuers, large e-commerce players and even insurance companies – and the need to prevent fraud while maintaining an optimum user experience. This means properly authenticating valid users and recognizing anomalies in real-time and at scale. Our patent portfolio is a demonstration of our market commitment.”
In addition to the touch-force patent, BioCatch obtained an additional eight new patents this year alone, including multiple user detection (Patent US 9477826), entitled “Device System, and Method of Detecting Multiple Users Accessing the Same Account.”
The technology extends BioCatch’s ability to detect a user’s identity by using specific parameters that can recognize that multiple individuals are using shared credentials.
The patent’s application extends beyond traditional fraud prevention in banking by addressing the needs of the software and content monetization market, such as IP protection, licensing, and usage tracking.
Another patent covers device spoofing circumvention (Patent US 9483292), entitled “Method, Device, and System of Differentiating Between Virtual Machine and Non-Virtualized Device.”
The patent describes a method to detect whether the device ID has been masked, differentiating between the real user who uses a real-world computing device to access a service or a remote server and an attacker who accesses the service or the remote server by using a Virtual Machine (VM).
BioCatch has also filed and received several patents relating to malware and robotic detection and identification of remote access Trojans (RATs).
This class of patents is designed to prevent next-generation malicious automatic attacks from occurring by using invisible challenges to create subconscious responses by users, which allows BioCatch to create and analyze those behavioral responses.
The monitored interactions are then used to detect attackers who use remote access channels, malicious automatic scripts, and malicious code injections, as well as others.
“The market is recognizing that traditional fraud prevention measures like device authentication, IP recognition and geolocation are being circumvented and new ways of understanding how cybercriminals behave must be examined,” said Avi Turgeman, CTO and co-founder of BioCatch. “With behavioral biometrics providing a powerful way to continuously authenticate users, our mission has evolved and expanded over the last several years to be able to recognize human and non-human criminal behavior alike.
“BioCatch continues to focus on the authentication of user behavior, and at the same time, we look for new parameters and data that we can extract and learn from. Our patents result in new capabilities that can outpace and outsmart cybercriminals and fraudsters, regardless of the methodologies they use to commit their crimes.”
Previously reported, BioCatch was granted a patent from the U.S. Patent Office covering a new technology that detects user identities on electronic devices.