MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202621054455 A) filed by Vivek Prakash Niwane; Dr. Gopal D. Dalvi; and Dr. Subhash M. Deokar on April 29, 2026, for Artificial Intelligence–based System For Cybersecurity Threat Detection And Prevention.
Inventors include Vivek Prakash Niwane; Dr. Gopal D. Dalvi; and Dr. Subhash M. Deokar.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an artificial intelligence–based system for real-time cybersecurity threat detection and automated prevention. The system integrates data acquisition, preprocessing, feature extraction, and machine learning-based analysis to monitor and secure digital environments including networks, endpoints, and cloud infrastructures. It employs supervised, unsupervised, and reinforcement learning models to identify known attacks as well as detect unknown and zero-day threats through anomaly and behavioral analysis. A behavioral analytics module establishes dynamic baseline profiles of users and devices to identify deviations indicative of malicious activity. The system further incorporates external threat intelligence feeds to enhance detection accuracy and contextual awareness. Upon identifying a threat, an automated response orchestration module executes mitigation actions such as isolation, blocking, and alert generation. The invention provides a scalable, adaptive, and proactive cybersecurity framework that minimizes response time, reduces false positives, and strengthens overall system resilience against evolving cyber threats.
Disclaimer: Curated by HT Syndication.
