Unveiling the Evolution of Behavioral Biometrics: Redefining User Authentication

 


Behavioral Biometrics, as defined by Quadrant Knowledge Solutions, is a technology that continually monitors, analyzes, and authenticates users based on their behavioral, cognitive, and response attributes. These attributes include keystroke dynamics, device handling, touchscreen interaction, mouse movements, navigation patterns, form context and fluency, and data familiarity. Leveraging advanced analytics and machine learning modules, Behavioral Biometrics generates behavioral risk scores to reduce false positives, shorten risk identification and remediation time, and enhance the customer experience by minimizing friction.

Despite the increasing adoption of biometrics solutions by Financial Institutions (FIs), integrating this technology with existing security systems remains a challenge. These challenges include the necessity for a large biometric data repository for accurate decision-making and the requirement for a secure environment to store this data. Organizations are expected to advance in AI and machine learning capabilities, and the adoption of behavioral profiling in multimodal biometrics will enhance adaptive and predictive capabilities for behavioral biometrics technologies.

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Key Questions Addressed in the Study:

·       What is the current competitive landscape in the Behavioral Biometrics market?

·       What is the market share held by major vendors in this market?

·       What are the key competitive dynamics in both global and regional markets for Behavioral Biometrics solutions?

·       Who are the leading vendors in both global and regional markets?

·       How do different vendors compare in terms of offering cloud-based versus on-premises solutions?

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Vendors covered in Behavioral Biometrics study:

BioCatch, Feedzai, IBM, LexisNexis Risk Solutions, NuData Security, OneSpan, RSA Security, SecureAuth, and TruU.

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