MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000838 A) filed by Mangalmay Institute Of Management & Technology, Greater Noida, Uttar Pradesh, on Jan. 5, for 'a system for providing cyber security by improved predictive potential of machine learning and method thereof.'
Inventor(s) include Praful Goswami; Deepti Gautam; and Pankaj Ananad.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for providing enhanced cyber security by improving the predictive potential of machine learning. The system continuously collects multi-source cyber data, including network traffic, system logs, user behavior, and external threat intelligence, and processes the data through a feature enrichment module that performs behavioral, contextual, and temporal analysis. An adaptive machine learning engine integrates supervised, unsupervised, and reinforcement learning to predict potential threats, which are further analyzed by a predictive analytics module to generate threat likelihood scores and attack probability indices. A response orchestration module then initiates automated mitigation actions based on predictive outputs, while feedback from these actions continuously refines the learning models. The invention enables proactive, real-time threat detection, reduces false positives, adapts dynamically to emerging attacks, and provides scalable, resilient, and predictive cyber defense across enterprise, cloud, and IoT environments."
Disclaimer: Curated by HT Syndication.
