MUMBAI, India, April 10 -- Intellectual Property India has published a patent application (202441075313 A) filed by Apexcognita Private Limited, Hyderabad, Telangana, on Oct. 4, 2024, for 'universal digital identity hub with quantum-resistant blockchain and ai-driven cross-border kyc integration for globally unique and interoperable digital identities.'

Inventor(s) include Babu Siva Prasad Dachepalli.

The application for the patent was published on April 10, under issue no. 15/2026.

According to the abstract released by the Intellectual Property India: "The Universal Digital Identity Hub (UDIH) (100) is an advanced system for creating, verifying, and managing globally unique digital identities. It integrates quantum-resistant cryptography, artificial intelligence, and blockchain technology to provide a secure, scalable, and interoperable solution for managing digital identities across platforms and jurisdictions. The system features a quantum-resistant Universal Digital Identifier (UDI) generator (102), AI-driven device behavior profiling, a blockchain-based device registry (106), and advanced security modules for edge computing and anomaly detection. UDIH (100) ensures privacy-preserving verification module (108), regulatory compliance (110), and user-controlled data sharing. Designed for scalability and future-proofing, it addresses the challenges of digital identity management in an increasingly interconnected and quantum-vulnerable world. 11. DESCRIPTION OF THE DRAWINGS Fig. 1: Overall System Architecture of UDIH (100) Fig. 2: Quantum-Resistant UDI Generation Process Fig. 3: Blockchain-Based Identity Management System Fig. 4: AI-Driven Cross-Border KYC Integration Layer Fig. 5: Privacy-Preserving Verification Module Fig. 6: Interoperability Framework Fig. 7: Adaptive Regulatory Compliance Engine Fig. 8: User-Controlled Data Sharing and Consent Management Fig. 9: AI-Enhanced Security and User Experience Fig. 10: Quantum Resilience Strategy Implementation Fig. 11: Cross-Border KYC Process Fig. 12: Privacy-Preserving Techniques Fig. 13: AI Ethics and Bias Mitigation Framework Fig. 14: Scalability Scenarios Comparison."

Disclaimer: Curated by HT Syndication.