MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043214 A) filed by Sr University, Warangal, Telangana, on April 4, for 'shax-ids: adaptive explainable hybrid intelligence framework for scalable multi-cloud intrusion detection and classification using integrated machine learning and deep learning models.'
Inventor(s) include Mandavilli Kavya; and Dr. T. Sampath Kumar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Adaptive Explainable Hybrid Intelligence Framework for Scalable Multi-Cloud Intrusion Detection and Classification using Integrated Machine Learning and Deep Learning Models 1. Field of the Invention(Abstract) The present invention relates to the technical fields of cybersecurity, cloud computing, and applied artificial intelligence. More specifically, it pertains to a novel integrated software system and method the Scalable Hybrid Adaptive explainable Intrusion Detection System (SHAX-IDS) for the real-time detection, fine-grained multi-class classification, and human-interpretable explanation of cyber intrusion events within heterogeneous, distributed multi-cloud computing environments. The invention achieves this through the synergistic integration of classical Machine Learning (ML), Deep Learning (DL), and Explainable Artificial Intelligence (XAI) methodologies within a unified, autonomously adaptive, cloud-native, and horizontally scalable software architecture. The system is designed for deployment on Kubernetes-orchestrated containerized infrastructure across multiple concurrent cloud service providers, and is compliant with applicable AI governance and cybersecurity regulatory frameworks including GDPR, NIST AI RMF, and ISO/IEC 42001."
Disclaimer: Curated by HT Syndication.
