The technology leverages Multi-Party Computation (MPC) and Zero Knowledge Proofs (ZKP) to enhance security against breaches and unauthorized access. This approach aligns with growing concerns about biometric data protection, particularly in light of recent regulatory actions against centralized biometric data collection.
Anonybit’s platform supports multiple biometric modalities, including face, voice, iris, and palm recognition. The system’s architecture allows for integration with third-party algorithms while maintaining NIST standards for biometric matching performance. Anonybit has already established important partnerships in this regard, including its partnership with EyeLock and ID R&D for iris and voice recognition capabilities.
The patented technology addresses key data privacy regulations by incorporating data minimization principles, privacy by design, data residency requirements, user consent mechanisms, and provisions supporting users’ rights to know and be forgotten.
Currently deployed by banks, fintech companies, and enterprises, the platform supports various use cases, including fraud prevention through deduplication and blocklisting, passwordless login and step-up authentication, secure account recovery processes, and protected storage of wallets, identity tokens, and document scans.
“This patent approval marks a significant milestone for Anonybit and the biometric industry at large,” said Frances Zelazny, CEO and Co-Founder of Anonybit. “It validates our mission to redefine how biometric data is protected while enabling scalable and seamless enterprise applications.”
The patent approval follows Anonybit’s recent collaboration with Fingerprint Cards AB to develop new multimodal biometric authentication solutions for enterprise customers, further expanding the company’s presence in the enterprise security market.
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February 5, 2025 – by the ID Tech Editorial Team
