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IDLive® Face Plus – Injection Attack Detection

Protect biometric security from deepfakes and other types of fraudulent digital imagery by detecting injection attacks, which pose a vulnerability where hardware and software hacks are used to bypass a proper capture process. Without countermeasures, fraudsters can emulate camera capture with non-live digital facial imagery in a way that can defeat certain liveness detection measures.

 

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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.