MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074544 A) filed by Mrs. Archana K, Gopalan College Of Engineering And Management; Dr. K Lakshmaiah, Ashoka Women'S Engineering College; S. Yuvalatha, Bannari Amman Institute Of Technology; Dr. G. Sanjiv Rao, Aditya University; and Karuturi Kavya Ramya Sree, Aditya University on June 16, 2026, for A System And Method For Intelligent Cyber Threat Detection And Mitigation Using Generative Artificial Intelligence And Deep Learning Model.
Inventors include Mrs. Archana K, Gopalan College Of Engineering And Management; Dr. K Lakshmaiah, Ashoka Women'S Engineering College; S. Yuvalatha, Bannari Amman Institute Of Technology; Dr. G. Sanjiv Rao, Aditya University; and Karuturi Kavya Ramya Sree, Aditya University.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a system and method for intelligent cyber threat detection and mitigation using Generative Artificial Intelligence and deep learning models. The invention collects cybersecurity data from multiple digital sources and processes the data using advanced deep learning architectures to identify anomalies, malware, intrusions, and suspicious activities. A Generative Artificial Intelligence engine generates contextual threat intelligence, attack predictions, severity assessments, and mitigation recommendations. Based on the generated intelligence, an automated mitigation controller executes defensive actions including network isolation, access restriction, malware containment, and security policy enforcement. A continuous learning module updates detection models using historical and newly observed threat information. The invention provides a proactive, adaptive, and autonomous cybersecurity framework capable of enhancing threat detection accuracy, reducing incident response time, minimizing false positives, and strengthening overall cybersecurity resilience across enterprise, cloud, and IoT environments.
Disclaimer: Curated by HT Syndication.