MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621050842 A) filed by Isha Bittharia; Gaganpreet Singh Chhabra; Yashashree Sahasrabuddhe; Harsh Khandelwal; Anshika Yadav; Kumar Saurav Sarkar; Nikita Harode; Jay Sahay; Shruti Raikwar; and Garima Singh on April 21, 2026, for Agentic Ai Framework For Autonomous Decision-Making In Cybersecurity Incident Response.

Inventors include Isha Bittharia; Gaganpreet Singh Chhabra; Yashashree Sahasrabuddhe; Harsh Khandelwal; Anshika Yadav; Kumar Saurav Sarkar; Nikita Harode; Jay Sahay; Shruti Raikwar; and Garima Singh.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: ABSTRACT Agentic AI Framework for Autonomous Decision-Making in Cybersecurity Incident Response The present disclosure relates to an Agentic Artificial Intelligence (AI) framework designed for autonomous decision-making in cybersecurity incident response. The framework utilizes a multi-agent architecture capable of perceiving, analyzing, and responding to cyber threats in real time. It integrates advanced machine learning, deep learning, and knowledge-based reasoning techniques to detect anomalies, assess risks, and initiate appropriate mitigation actions with minimal human intervention. The proposed system incorporates intelligent modules for data acquisition, threat detection, contextual analysis, decision-making, and action execution. A reinforcement learning-based decision agent dynamically selects optimal response strategies based on the nature and severity of detected threats. The framework ensures continuous monitoring and rapid response by correlating multi- source data and adapting to evolving attack patterns. Furthermore, the invention includes a feedback and learning mechanism that continuously improves system performance through adaptive learning and threat intelligence updates. This enables the framework to handle zero-day attacks and complex cybersecurity challenges effectively. The proposed solution enhances security, reduces response time, and provides a scalable and resilient approach for protecting enterprise systems, cloud infrastructures, and IoT environments.

Disclaimer: Curated by HT Syndication.