Youverse achieves 0% False Acceptance Rate in iBeta liveness detection tests Written on
Lisbon, September 23, 2024
Youverse, a leading provider in privacy-preserving biometric solutions, has strengthened its leadership in liveness detection by achieving updated compliance Level 1 and Level 2 from iBeta Quality Assurance for presentation attack detection with a 0% False Acceptance Rate (FAR) under more than thousands challenging spoofing attempts. This accomplishment reinforces Youverse's commitment to providing secure and reliable identity verification solutions.
iBeta, a global independent testing and certification laboratory, rigorously evaluates biometric technologies against international standards. Compliance with ISO 30107-3 Level 1 and Level 2 validates Youverse’s ability to accurately detect presentation attacks, such as the use of photos, videos, or masks to spoof biometric systems.
“We are thrilled to receive these updated certifications from iBeta,” said Miguel Lourenço, Chief Product Officer at Youverse. “This recognition underscores our unwavering commitment to delivering cutting-edge liveness detection solutions that meet the highest industry standards. By protecting against presentation attacks, we help our clients safeguard their users’ identities and prevent fraud, including from the increasing threat of generative AI and synthetic identities.”
Youverse’s liveness detection technology leverages advanced algorithms and machine learning to analyze various facial cues and behaviors, ensuring that only genuine users can access sensitive information or services. This technology is widely used across a range of industries, including financial services and hospitality.
About Youverse
Youverse makes customer interactions a breeze with private, convenient, and secure face authentication and identity verification technology. Our technology has been independently certified as top-tier for accuracy by international benchmark. With a decentralized, zero-knowledge privacy architecture, Youverse addresses a long-standing issue of privacy by breaking away from centralized biometric databases and providing an unmatched level of privacy, convenience, accuracy, and trust in face authentication.
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