MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008452 A) filed by Mr. P. Sirenjeevi; Dr. V. Dhanakoti; F. Jessy Nirmala; Heena Kausar Feroz Khan; Mrs. Kausar Asif Maner; Bhumesh Purushottam Masram; Vaishali Ramesh Kandekar; Dr Shilpa P; Dayananda Sagar Academy Of Technology And Management; and Manisha Chawla, Chennai, Tamil Nadu, on Jan. 28, for 'cognitive cloud shield: intelligent anomaly detection and predictive risk management in dynamic cloud environments.'
Inventor(s) include Mr. P. Sirenjeevi; Dr. V. Dhanakoti; F. Jessy Nirmala; Heena Kausar Feroz Khan; Mrs. Kausar Asif Maner; Bhumesh Purushottam Masram; Vaishali Ramesh Kandekar; Dr Shilpa P; and Manisha Chawla.
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: "This invention teaches the Cognitive Cloud Shield (CCS), which is an intelligent, adaptive, cloud security system designed to provide proactive defensive capabilities in modern, elastic cloud computing environments. The system uses a variety of behavioural analytics, unsupervised and supervised machine learning models, and probabilistic inference techniques to monitor the cloud in real-time. More specifically, CCS develops individual behavioural baselines, which enables it to identify deviations in user and device behaviour that may represent potential security breaches or insider threats. When an anomaly is detected, CCS uses a context-aware risk assessment engine that combines historical user behaviour, real-time telemetry, environmental information, and threat intelligence to generate predictive risk scores. The risk scores guide the adaptive response functions within CCS, which can automatically invoke changes such as modifying access controls, isolating workloads, terminating sessions, and prompting more difficult authentication of session requests. CCS is designed to be totally composable as a service so that it can be part of DevOps workflows and work in conjunction with containerized cloud monster technology. We expect our architecture to be interoperable with many existing orchestration and cloud security tools. CCS has a closed-loop feedback system that allows it to improve machine learning models based on lessons learned from incidents. As a result, CCS is a cloud security framework that is highly scalable, resilient, and cognitive which can be deployed in enterprise, government, or mission-critical environments that need solid cyber protections for all data in a cloud environment."
Disclaimer: Curated by HT Syndication.
