SecuredTouch Launches New Fraud Detection Solution
August 09, 2017
For the most part when we think of fraud, we envision human hackers breaking through our passwords and stealing our information. It’s not often that we take non-human hackers into account, but they do exist. That’s why SecuredTouch has recently released its new HUMANOBOT solution, which is fine-tuned to continuously discover non-human device activity, automatically detecting fraud.
When SecuredTouch made the announcement, it specified how the solution works by saying, “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.”
The alerts are a key differentiator from how fraud like this used to be handled. HUMANOBOT sends alerts during suspicious events like bot attacks or when a session’s risk crosses a certain threshold, stopping breaches. Previously, each type of threat had to be addressed individually within the application or a business’ security infrastructure. Doing all of that obviously takes a lot more time and therefore allowed some suspicious activity to slip through the cracks. Now, however, thanks to HUMANOBOT, that is no longer an issue for users.
Yair Finzi, SecuredTouch CEO, commented on the company’s decision to create this solution by pointing out that there was a big gap in the market: “Emulators and bots are being used to defraud companies of millions of dollars. Stopping them delivers immediate ROI because of its direct impact on fraud prevention without adding friction for legitimate users.” With so much more activity being monitored and flagged as fraudulent, the revenue leakage that Finzi mentioned should soon be a problem of the past.
Edited by Maurice Nagle
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