HUMANOBOT can discover non-human activities trying to commit fraud
|Christian Hargrave in Security Tuesday, July 25, 2017|
Behavioral biometrics tech to better detect non-human activities like bots and emulators trying to commit fraud fine-tuned by SecuredTouch.
The system recognizes these behaviors using advanced machine learning, correlating data from different sensors to differentiate between human and non-human and between real devices and emulators, which it then uses to send alerts about attacks from emulators and virtual machines by suspicious mobile traffic.
Previously, each type of threat had to be addressed individually within the application or within the business’ security infrastructure. The latest SecuredTouch technology wants to change that, allowing their customers to simultaneously enhancing their customer experience - by eliminating the need for repeatedly entering passwords, security questions, and captchas - while reducing development time, infrastructure resource requirements, and transaction abandonment.
“Emulators and bots are being used to defraud companies of millions of dollars,” says Yair Finzi, SecuredTouch CEO. “Stopping them delivers immediate ROI because of its direct impact on fraud prevention without adding friction for legitimate users.”
Their solution delivers push\pull notifications during suspicious events like bot attacks or when a session’s risk crosses a certain threshold, stopping breaches. Even if the malicious actor appears to be a legitimate user, SecuredTouch continuous monitoring detects compromised user credentials, strengthening protection.
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