Intellectual Property India Publishes Patent Application for 'Quantum-Resistant Authentication Core With Adaptive Cryptographic Agility And AI-Driven Regulatory Compliance For Secure Digital Identity And Communication Systems' Filed by Apexcognita Private Limited

MUMBAI, India, April 10 -- Intellectual Property India has published a patent application (202441075315 A) filed by Apexcognita Private Limited, Hyderabad, Telangana, on Oct. 4, 2024, for 'quantum-resistant authentication core with adaptive cryptographic agility and ai-driven regulatory compliance for secure digital identity and communication systems.'

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 Quantum-Resistant Authentication Core (QRAC) is an advanced, adaptive authentication system (100) designed to provide secure, scalable, and future-proof identity verification and communication security. It combines post-quantum cryptography, artificial intelligence, and quantum key distribution to create a comprehensive security solution resilient against both classical and quantum computing threats. The system features an adaptive cryptographic module (102), AI-driven threat assessment (104), regulatory compliance automation (110), edge computing integration (112), and an ethical AI framework (114). QRAC ensures interoperability with existing systems, scalability across various deployment scenarios, and sustainability through energy-efficient operations. It facilitates human-AI collaboration (118) for effective oversight and incorporates quantum key distribution for ultra-secure key exchange. This invention addresses the urgent need for authentication systems that can withstand future quantum computing attacks while adapting to evolving regulatory landscapes and technological advancements. 12. DESCRIPTION OF THE DRAWINGS Fig. 1: Overall System Architecture of QRAC Fig. 2: Adaptive Quantum-Resistant Cryptographic Module Flowchart Fig. 3: AI-Driven Threat Assessment and Response System Fig. 4: Scalability Scenarios Fig. 5: Regulatory Compliance Automation Process Fig. 6: Edge Computing Security Module Architecture Fig. 7: Ethical AI Framework and Bias Mitigation Process Fig. 8: Human-AI Collaboration Interface Mockup Fig. 9: Quantum Key Distribution Integration Fig. 10: Sustainability Optimization System Fig. 11: QRAC Long-Term Quantum-Safe Data Protection Fig. 12: QRAC Use Case Matrix Fig. 13: QRAC Comprehensive Architecture Fig. 14: QRAC Synergistic Interactions Fig. 15: QRAC Use Case Matrix (continued)."

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