MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049492 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on April 17, for 'a system for intelligent anomaly detection and predictive risk management in cloud computing environments.'
Inventor(s) include Princy Tyagi; Swati Rawat; and Rachit Lakhera.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to a cloud computing framework incorporating a Data Collection Layer for aggregating heterogeneous data from various cloud resources, a Cognitive AI Engine employing machine learning models-including autoencoder networks, clustering algorithms, neural networks, and time-series analysis-to establish dynamic baselines and detect anomalies, and a Decision and Mitigation Module that classifies anomalies via a rule-based decision system and initiates corrective actions. A User Interface and Reporting Layer offers real-time dashboards and logs, while system feedback continuously updates the machine learning models to enhance performance. The approach provides intelligent anomaly detection and predictive risk management by integrating data normalization, feature extraction, and adaptive learning, ensuring robust, automated risk mitigation in cloud computing environments."
Disclaimer: Curated by HT Syndication.
