MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126549 A) filed by Bharath Kumar Reddy Janumpally; Sandeep Batchu; and Dheeraj Reddy Jonnalagaddda, Cumming, U.S.A., on Dec. 14, 2025, for 'system and method for ai-powered autonomous cloud hardening using reinforcement learning in zero trust architectures.'
Inventor(s) include Bharath Kumar Reddy Janumpally; Sandeep Batchu; and Dheeraj Reddy Jonnalagaddda.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention provides a system and method for autonomous cloud hardening that integrates reinforcement learning with zero trust architectural principles to dynamically strengthen security configurations. The system collects cloud telemetry, analyzes identity behavior, evaluates configuration states, and identifies risk factors through a reinforcement learning engine that generates optimized hardening actions. A zero-trust enforcement controller verifies that each action complies with identity centric and continuous verification requirements, while a digital twin simulation environment validates all actions for operational safety before deployment. A policy orchestration module applies the validated changes across cloud platforms and monitors for drift or emerging threats, thereby enabling a continuous self-learning and self-optimizing security mechanism that maintains a resilient and compliant cloud environment without human intervention."
Disclaimer: Curated by HT Syndication.
