KBA vs. Biometrics: Which Authentication Method Wins?
Blog post from Didit
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Knowledge-Based Authentication (KBA) relies on personal information for identity verification but has become less secure due to the widespread availability of data from breaches, making it vulnerable to fraud. In contrast, biometric authentication uses unique biological traits like fingerprints and facial features, offering stronger security despite privacy concerns. A layered approach combining KBA, biometrics, and other factors is deemed the most robust authentication system. Modern biometric solutions, such as passive liveness detection, enhance security by ensuring the user is alive without adding friction. Companies like Didit integrate KBA and biometrics with additional fraud prevention tools to create comprehensive identity platforms, which include features like modular architecture, passive liveness detection, fraud signal analysis, workflow orchestration, and reusable KYC processes to minimize authentication risks.
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