Behavioural biometrics distinguishes humans from robots

Securedtouch behavioural biometrics technology was developed to analyse 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 recognises non-human behaviour 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 ensures a completely 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.

“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.”

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. Even if the malicious actor appears to be a legitimate user, Securedtouch continuous monitoring quickly detects compromised user credentials, strengthening protection.