MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096179 A) filed by Mrs. Yerram Sneha; Banothu Ramji; Dr. Monica Kalbande; Vijay Prakash; Mrs. K. Neeharika; Dr. Sunil Babu Melingi; Badshaha Gulab Nadaf; Ms. N. Surya; Dr. D. Helen; Vijayakumari Rodda; Dr. Arun Kumar Sao; and Dr. L. Arulmozhiselvan on August 09, 2026, for Secure And Privacy-Aware Data Processing Using Confidential Analytics.
Inventors include Mrs. Yerram Sneha; Banothu Ramji; Dr. Monica Kalbande; Vijay Prakash; Mrs. K. Neeharika; Dr. Sunil Babu Melingi; Badshaha Gulab Nadaf; Ms. N. Surya; Dr. D. Helen; Vijayakumari Rodda; Dr. Arun Kumar Sao; and Dr. L. Arulmozhiselvan.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention discloses a secure and privacy-aware data processing system and method for performing confidential analytics over sensitive datasets while ensuring data confidentiality, integrity, and controlled access throughout the complete data processing lifecycle. With the rapid expansion of cloud computing, edge computing, artificial intelligence, and distributed data-driven applications, organizations increasingly process large volumes of sensitive information, creating significant challenges related to unauthorized access, data leakage, privacy violations, and secure computation. The disclosed invention provides an integrated confidential analytics framework comprising secure data acquisition, privacy-aware data management, confidential computation, adaptive access control, trust evaluation, and continuous security monitoring modules. The system enables analytical operations to be performed within a protected computational environment, thereby reducing exposure of sensitive information during processing. The invention incorporates privacy-preserving mechanisms and intelligent security policies to dynamically protect data based on sensitivity levels, user authorization, contextual conditions, and operational requirements. The proposed system supports secure analytics across cloud, edge, and distributed computing environments while enabling organizations to extract meaningful insights without directly sharing or exposing raw confidential data. The invention further facilitates secure collaboration among multiple entities by maintaining data ownership, privacy protection, and regulatory compliance. Continuous monitoring and auditing mechanisms enhance transparency, detect potential security threats, and ensure trustworthy data processing operations. The disclosed confidential analytics framework provides improved security, scalability, efficiency, and privacy preservation compared with conventional data processing approaches, making it suitable for applications including healthcare, finance, industrial IoT, smart cities, government systems, and other domains requiring secure utilization of sensitive information.
Disclaimer: Curated by HT Syndication.
