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Demo: FinovateFall 2022

ID R&D demonstrates facial liveness and document liveness at FinovateFall 2022, and discusses a case study where a large retail bank substantially decreases abandonments with an upgrade to passive facial detection.

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Demo: SafeChat™

See how to add frictionless multi-modal biometric authentication and anti-spoofing to your chatbot and virtual assistant applications. Watch the chatbot demo!

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Case Study: The Economics of User Friction in Digital Onboarding

This case review of a bank’s transition of its customer onboarding technology illustrates how removing user friction is about more than convenience. Their upgrade from active to passive liveness detection demonstrates how removing friction can significantly decrease abandonment, and how that can hit the bottom line in a big way.

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Webinar: Human or Machine: AI Proves Best at Spotting Biometric Attacks

Liveness detection protects facial biometric systems from spoofing attacks. One advantage of AI liveness detection is the reduced burden of manual checks on humans. Another is faster response times for the customer. But these advantages aside, which is better at the job, the human or AI? The team at ID R&D tackled this question.

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Webinar: Demographic Bias in Facial Liveness Detection: Impact, Measurement, and Mitigation

AI-powered facial liveness detection algorithms can introduce bias, causing mobile banking services to be less accessible for people based on their demographics. So ID R&D commissioned the first-ever independent evaluation of a facial liveness algorithm for bias. ID R&D and BixeLab share their thoughts and experiences on the topic in a webinar hosted and moderated by Biometric Update.