Collateral

Filters
Reset
Reset
View

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.

View

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.

View

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.

View

White Paper: Mitigating Demographic Bias in Facial Presentation Attack Detection

Bias in AI-powered biometric algorithms can lead to unfair treatment of individuals in certain demographic groups based on their gender, age, and race. As with matching algorithms, bias in liveness detection can also lead to higher error rates and less accessibility for mobile banking services for individuals based on their appearance. This white paper introduces methodologies to address bias in support of Responsible AI principles.

View

IDLive® Doc – Document Liveness Detection

IDLive Doc is the first standalone solution for document liveness detection, an essential countermeasure to document-based presentation attacks. Preventing this type of attack is critical to ensuring the integrity of identity verification in a mobile or online onboarding process.

View

CASE STUDY: Payface Biometric Payments

Payface makes it easy for retailers in Latin America to provide Point of Sale (POS) payment options that result in a safer, faster, and more convenient shopping experience. Learn how Payface is leverage ID R&D passive facial liveness to stop fraud without adding friction.

Enterprise-Grade Biometrics WhitePaper
View

Consumer Vs Enterprise-Grade Biometrics Whitepaper

In order to take control of user authentication and achieve higher levels of security while also gaining the advantage of lower friction in the customer experience, enterprises must deploy enterprise-grade biometrics. This paper explains the key differences between consumer-grade and enterprise-grade biometrics and why using the former exposes companies to a false sense of security and greater risk.

View

Whitepaper: The Role of Liveness Detection in Face Biometric Authentication

Facial Liveness Detection is vital for fighting fraud during identity proofing. However, not all solutions work the same way. Some approaches frustrate and confuse users, leading to increased abandonment during Digital Onboarding. Read our whitepaper for an overview of how the technology works, an in-depth look at active vs passive approaches, and important considerations when choosing a solution for your business.

Single Frame Paper Thumbnail
View

TECH BRIEF: Understanding Single Frame Passive Facial Liveness

“How do you do that?” This is one of the first questions we get once people experience ID R&D’s Passive Facial Liveness Detection. To help address this common question, we wrote a Tech Brief, “Understanding Single Frame Passive Liveness.” The paper dives a little deeper into our single frame approach to facial liveness, including how it works and the advantages for both users and developers.