February 05, 2025

Anonybit Team

Deep Dive: The Anonybit Decentralized Biometric Cloud

Blog Deep Dive

Deep Dive: The Anonybit Decentralized Biometric Cloud

The Anonybit Decentralized Biometric Cloud is a groundbreaking privacy-enhancing infrastructure designed to secure biometric data without ever storing it in a single location. Unlike traditional biometric storage methods, which create centralized honey pots of sensitive information, Anonybit employs a patented, decentralized approach to ensure that biometric identifiers remain safe from breaches and misuse. 

How Does It Work: Multi-Party Computation (MPC) and Zero Knowledge Proof (ZKP)

At the core of the Anonybit Decentralized Biometric Cloud lies an advanced cryptographic framework leveraging Multi-Party Computation (MPC) and Zero Knowledge Proofs (ZKP). These technologies work together to ensure privacy, security, and performance without compromising biometric accuracy.

  • Multi-Party Computation (MPC): Anonybit leverages MPC to fragmented the biometric template into multiple shards, that are anonymized derivatives of the original biometric sample, that get distributed across a multi party cloud environment. The pieces are not linked or have any relation to one another, and the data never resides as a complete biometric template, making it mathematically impossible for an attacker to reconstruct the original data. This means even if one of the shards are compromised, the integrity of the system remains in place.
  • Zero Knowledge Proof (ZKP): Anonybit leverages ZKP to enable the authentication to occur without requiring the original biometric sample or exposing any of the underlying biometric data. When a user attempts authentication, the system verifies the biometric match within the MPC framework in a sharded manner, without bringing the pieces back together. This ensures a balance between usability and privacy, making Anonybit’s approach truly privacy-preserving.

This infrastructure is engineered to support various biometric modalities, including face, voice, iris, and palm recognition, enabling a wide range of use cases across fintech, banking, payments, and identity verification. Third-party algorithms are also supported to ensure specific performance level requirements.

The Anonybit Decentralized Biometric Cloud handles both 1:1 and 1:many real-time matching at scale.

How It Is Deployed

The Anonybit Decentralized Biometric Cloud can be deployed in two ways:

  1. Anonybit Genie – Turnkey Solution for Enterprises

Organizations looking for a turnkey decentralized identity management platform can leverage the Anonybit Genie. This comprehensive solution integrates all the necessary components to power privacy-preserving biometric matching, including:

  • Image capture
  • iBeta tested liveness detection and injection detection
  • Choice of biometric modalities and algorithms including top-tested NIST facial recognition
  • Privacy-preserving customizations 
  • API set for simple integration into existing tech stacks

The Anonybit Genie enables enterprises to implement a robust biometric security framework without the risk of data breaches or compliance challenges.

  1. Enabling Technology for Partners

For product developers and system architects that already have some front end capture capabilities or biometric algorithms that need to be adapted into a privacy-preserving framework, Anonybit’s Decentralized Biometric Cloud can be integrated as a backend enabler. 

Examples include:

  • Biometric algorithm providers who want to offer a privacy-enhancing option for deployment
  • IDV vendors who need a secure backend to handle deduplication and reverification functions
  • Access control device manufacturers who need to secure biometric templates in a cloud for enterprise level deployments
  • Biometric hardware and sensor manufacturers who want to offer a complete solution to the market including backend template storage and matching
  • And more

This flexibility allows enterprises and solution providers alike to enhance their data security and compliance posture without sacrificing usability or security.

Use Cases Supported by the Anonybit Decentralized Biometric Cloud

Anonybit’s Decentralized Biometric Cloud is designed to address some of the most pressing security challenges enterprises face today. The following key use cases showcase its impact:

Deduplication and Blocklist Checks

  •   Prevents users from enrolling with multiple identities.
  •   Helps detect fraudulent actors attempting to register under different names and/or with different credentials
  •   1:N functionality can also be used to enable seamless access or payments at the point of sale

Passwordless Login

  •   Eliminates reliance on passwords, reducing phishing and credential stuffing risks
  •   Enables secure and seamless user authentication across all channels, including digital, physical, call center and chat
  •   Enhances user experience without compromising security

Step-Up Authentication

  •   Provides an additional security layer for high-risk transactions
  •   Ensures that access to sensitive accounts or operations is only granted to legitimate users
  •   Protects against account takeovers and unauthorized access

Account Recovery

  •   Replaces insecure knowledge-based authentication (e.g., security questions) with biometric verification
  •   Prevents social engineering attacks and SIM swamp vulnerabilities 
  •   Enhances user trust and enables self-service account resets

Final Thoughts

The Anonybit Decentralized Biometric Cloud represents a paradigm shift in how biometric data is secured and utilized. By leveraging MPC and ZKP, it offers unparalleled privacy and security while maintaining the performance enterprises need. Whether deployed as part of Anonybit Genie or integrated into existing biometric solutions, the Anonybit Decentralized Biometric Cloud is transforming authentication, fraud prevention, and identity verification for a privacy-first world.

To schedule a meeting with our solutions team to discuss how the Anonybit Decentralized Biometric Cloud can work for your organization, click here.

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