MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202621081460 A) filed by Vijyayta Raikwar; Drashti Pawar; Esha Goswami; Gaurav Sonpure; Hardik Jain; Harshil Jain; Harshit Pandey; Kalpana Kumari; Mohd. Afzal; and Nabhinandan Jain on July 01, 2026, for Ai-Powered Blockchain Integrated Secure Digital Transaction System.
Inventors include Vijyayta Raikwar; Drashti Pawar; Esha Goswami; Gaurav Sonpure; Hardik Jain; Harshil Jain; Harshit Pandey; Kalpana Kumari; Mohd. Afzal; and Nabhinandan Jain.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT The present invention discloses an Artificial Intelligence-Powered Blockchain Integrated Secure Digital Transaction System designed to provide secure, intelligent, transparent, scalable, and decentralized transaction management. The invention integrates artificial intelligence analytics, machine learning algorithms, deep learning architectures, blockchain infrastructures, cryptographic security mechanisms, smart contract frameworks, adaptive authentication systems, predictive fraud detection engines, compliance monitoring modules, and transaction optimization capabilities within a unified architecture. Transaction requests are acquired from diverse digital environments and analyzed using artificial intelligence models to evaluate risk levels, identify fraudulent activities, and verify transaction legitimacy. Validated transactions are securely recorded within a decentralized blockchain ledger, ensuring immutability, traceability, and transparency. Smart contracts automate transaction execution and contractual compliance while predictive analytics modules identify emerging cybersecurity threats and operational risks. Adaptive authentication mechanisms strengthen identity verification through biometric and behavioral analysis techniques. Compliance monitoring engines evaluate transaction activities against regulatory and organizational requirements while maintaining immutable audit records. Resource optimization algorithms improve scalability and operational efficiency through intelligent workload management. The invention further supports decentralized identity management, federated learning, explainable artificial intelligence, Internet of Things integration, edge computing deployment, multi-chain interoperability, automated dispute resolution, and quantum-resistant cryptographic security. The disclosed system significantly enhances transaction security, fraud prevention, transparency, compliance, reliability, scalability, and operational efficiency across financial, governmental, healthcare, industrial, and enterprise transaction ecosystems.
Disclaimer: Curated by HT Syndication.
