MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082728 A) filed by Usha Devi Moorthy; Karthikeyan Kasi; Dr. Senthil Murugan Janakiraman; Mohan Bangalore Somashekar; Dr. Meghana Solanki; Dr. Kannadhasan Suriyan; Dr. Rajesh M Autee; Karthikayan Poobalakrishnan Nagarajan; Dr. Sabyasachi Pramanik; and Dr. Senthil Prakash Kuppusamy on July 05, 2026, for Ai-Driven Adaptive Cybersecurity Framework For Real-Time Network Protection.
Inventors include Usha Devi Moorthy; Karthikeyan Kasi; Dr. Senthil Murugan Janakiraman; Mohan Bangalore Somashekar; Dr. Meghana Solanki; Dr. Kannadhasan Suriyan; Dr. Rajesh M Autee; Karthikayan Poobalakrishnan Nagarajan; Dr. Sabyasachi Pramanik; and Dr. Senthil Prakash Kuppusamy.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses an AI-Driven Adaptive Cybersecurity Framework for Real-Time Network Protection that provides an intelligent, autonomous, and scalable platform for detecting, predicting, and mitigating cyber threats across modern digital infrastructures. The framework integrates artificial intelligence, machine learning, deep learning, behavioral analytics, anomaly detection, automated threat intelligence, and adaptive learning mechanisms to continuously monitor network traffic, endpoint activities, cloud resources, IoT devices, industrial systems, and user behavior. The proposed system dynamically identifies both known and previously unknown cyber threats, including malware, ransomware, phishing, insider attacks, advanced persistent threats, and distributed denial-of-service attacks, while minimizing false positives through continuous model optimization. Upon detecting malicious activities, the framework automatically performs mitigation actions such as endpoint isolation, firewall optimization, communication blocking, access restriction, and incident response. The invention further incorporates predictive risk assessment, explainable AI, continuous learning, and real-time security policy adaptation to enhance cyber resilience, reduce response time, improve detection accuracy, and ensure uninterrupted confidentiality, integrity, and availability of network resources across enterprise, cloud, IoT, and hybrid computing environments.
Disclaimer: Curated by HT Syndication.