Digital Identity: The Evolution and Impact of Behavioral Biometrics

 


Quadrant Knowledge Solutions Reveals that Behavioral Biometrics Market is Projected to Register a CAGR of 11.9% by 2027. Behavioral biometrics stands as a dynamic cybersecurity technology, evolving alongside the expanding landscape of internet and IoT device usage. Organizations are increasingly challenged by the imperative to combat fraudulent activities and cybercrimes, catalyzing the emergence of sophisticated behavioral biometric solutions empowered by AI and ML technologies. Such solutions encompass a spectrum of digital and cognitive behaviors, including keystroke dynamics, typing cadence, touchscreen movements, and device handling, facilitating user reauthentication.

Quadrant Knowledge Solutions characterizes Behavioral Biometrics as a technology that passively and continually observes, assesses, and verifies users based on their behavioral, cognitive, and response traits. These encompass keystroke dynamics, device manipulation, touchscreen interaction, mouse gestures, navigation patterns, contextual form fluency, and data familiarity across the entirety of the customer journey. Leveraging advanced analytics and machine learning, Behavioral Biometrics generates ongoing behavioral risk scores, mitigating false positives, reducing risk identification and remediation time, and fostering seamless customer experiences.

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This study aims to address key inquiries:

ยท       The current competitive landscape within the Behavioral Biometrics market.

ยท       Market share held by major vendors in global and regional markets.

ยท       Key competitive dynamics shaping the Behavioral Biometrics solution market.

ยท       Leading vendors in global and regional markets.

ยท       Comparison of different vendors in terms of their offerings of cloud-based versus on-premises solutions.

ยท       Competitive factors influencing the market positioning of different vendors.

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While financial institutions (FIs) increasingly adopt biometric solutions, they grapple with integrating this technology into their existing security frameworks. Challenges include the necessity for substantial biometric data repositories to ensure precise decision-making and the imperative to uphold secure data storage environments.

Organizations will persist in advancing AI and machine learning capabilities, with the adoption of behavioral profiling in multimodal biometrics driving enhancements in adaptive and predictive capacities for behavioral biometric technologies.

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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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