All the recent media buzz regarding cybersecurity, data breaches, and the growing trend towards machine learning technology is indicative of the need for change to combat online fraud. The technology used to analyze and detect online fraud is increasingly more complex but highly effective at lowering and preventing fraudulent activity online. Tools such as machine-learning analytics are used to implement risk-based authentication and new account fraud prevention systems by industry leaders.
As a pioneer of using behavioral biometrics to detect and stop fraudulent transactions in real-time with continuous risk assessment, BehavioSec has played a major role in shaping the development of this trending technology. The linked article by Gartner, provides a detailed look into the growing technology of machine learning and behavioral biometrics, which is the foundation of the BehavioSec platform.
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BehavioSec Behavioral Biometrics platform currently helps large global enterprises to continuously authenticate digital identities across billions of mobile and web app transactions while complementing legacy authentication and risk management tools.
Gartner, Market Guide for Online Fraud Detection, Jonathan Care, Tricia Phillips, 31 January 2018. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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