August 2, 2017 – SecuredTouch behavioral biometrics-based HUMANOBOT detects non-human behavior generated by bots, malware, and automated scripts and stops fraud-focused emulators within mobile applications.
SecuredTouch behavioral biometrics technology was developed to analyze human interaction with their mobile devices, so its HUMANOBOT solution is fine-tuned to continuously discover non-human device activity, automatically detecting fraud.
The system recognizes non-human behavior like scripted attacks, malware, and bots using advanced machine learning, correlating data from different sensors to differentiate between human and non-human and to differentiate between real devices and emulators. It detects and sends alerts about attacks from emulators and virtual machines by recognizing suspicious mobile traffic.
Previously, each type of threat had to be addressed individually within the application or within the business’ security infrastructure. SecuredTouch technology is designed to ensure a frictionless experience, simultaneously enhancing the customer experience by eliminating the need for repeatedly entering passwords, security questions, and captchas, while reducing development time, infrastructure resource requirements, and transaction abandonment. The solution is fully in force immediately upon activation– without requiring a baseline profile.
SecuredTouch’s solution delivers push\pull notifications during suspicious events like bot attacks or when a session’s risk crosses a certain threshold, stopping breaches.
