MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541084693 A) filed by P Sivakumar; and Dr. Jeyaselvi M, Chennai, Tamil Nadu, on Sept. 6, 2025, for 'intelligent security orchestration system employing multi-layered machine learning for behavioral threat pattern recognition.'
Inventor(s) include P Sivakumar; and Dr. Jeyaselvi M.
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: "An intelligent security orchestration system employing multi-layered machine learning for behavioral threat pattern recognition is disclosed. The system comprises a data ingestion layer collecting security data from network traffic analyzers, endpoint detection systems, SIEM platforms, and threat intelligence feeds; a multi-layered machine learning engine having supervised learning modules using Random Forest and SVM algorithms, unsupervised learning modules employing K-means and DBSCAN clustering, reinforcement learning modules implementing Q-learning algorithms, and deep learning modules utilizing CNN and LSTM networks; a behavioral analysis unit establishing baseline profiles and detecting anomalous deviations; a threat correlation engine identifying coordinated attack patterns across temporal dimensions; and an automated response orchestration unit executing containment and mitigation strategies. The system processes security events through multiple machine learning layers to identify both known and unknown threats, correlates individual events to detect advanced persistent threats, and automatically orchestrates coordinated responses across integrated security platforms."
Disclaimer: Curated by HT Syndication.
