Development of a Trustworthy Digital Identity Verification Platform Using Tokenized Data and Zero-Knowledge Proofs

The client faces difficulties in providing users with a secure, privacy-preserving method for identity verification and age confirmation. Existing systems require manual verification of official documents and face spoofing challenges, leading to potential security risks and user privacy concerns. They need a solution that allows selective disclosure of identity data to third parties while maintaining user anonymity and trustworthiness of the data source.

A fintech company aiming to streamline digital identity verification and age confirmation processes for its platform, serving financial institutions and government agencies.

• Develop a mobile platform for users to generate a digital ID by verifying official government documents and performing face biometrics verification.
• Implement automated document verification, antispoofing liveness checks, and face comparison to ensure authenticity.
• Enable selective disclosure of identity attributes (e.g., age, address) using zero-knowledge proofs, enhancing privacy and data security.
• Create a prototype that can demonstrate core functionalities for investor presentations and early testing.
• Ensure scalability, robust security, and compliance with data privacy standards across multiple markets.

• User onboarding process integrating document capture and verification against official government records.
• Automatic face scan analysis with anti-spoofing measures for liveness detection.
• Comparison of face biometrics with document images for identity validation.
• Generation of a secure, tokenized digital ID containing selected data fields (such as name, address, age).
• Implementation of zero-knowledge proof-based attribute disclosure, enabling sharing of specific data points without revealing underlying personal data.
• Frontend interface optimized for mobile devices supporting seamless user experience.

• Government identity verification services for document validation
• Biometric data repositories or biometric matching services
• Blockchain networks for token management
• Third-party age verification and data attribute services

• High security standards to protect sensitive personal data and prevent fraud
• System scalability to support large user bases across multiple markets
• Fast identity verification processing times (e.g., under 30 seconds per verification)
• Compliance with relevant data privacy regulations (e.g., GDPR, CCPA)
• Availability and reliability to ensure minimal downtime

The implementation of this privacy-preserving digital identity verification system is expected to significantly reduce manual verification efforts, enhance user privacy through selective attribute sharing, and increase trustworthiness of identity validation processes. It aims to improve verification speed and accuracy, support multi-market scalability, and boost security, ultimately resulting in increased user adoption and compliance with data privacy standards.