MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122801 A) filed by Pamula Udayaraju; Vijayasai Madamanchi; Suseelkousic Gogineni; Venkata Makineni; Boddu L V Siva Rama Krishna; M. Sitharam; V. Dilip Kumar; and Gaddala Punnam Chander on October 14, 2026, for An Ai-Based Enterprise Dependency Knowledge Graph System For Dynamic Middleware Dependency Identification And Resilience Analysis.
Inventors include Pamula Udayaraju; Vijayasai Madamanchi; Suseelkousic Gogineni; Venkata Makineni; Boddu L V Siva Rama Krishna; M. Sitharam; V. Dilip Kumar; and Gaddala Punnam Chander.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to an AI-based Enterprise Dependency Knowledge Graph System for dynamic middleware dependency identification and resilience analysis. The proposed system automatically collects operational and configuration information from heterogeneous enterprise infrastructure sources and applies artificial intelligence to identify direct, indirect, and dynamically evolving middleware dependencies. The identified relationships are represented through a continuously updated enterprise knowledge graph comprising interconnected infrastructure components and their operational relationships. A graph-based resilience analysis engine evaluates component criticality, potential single points of failure, and cascading failure pathways. A predictive impact assessment module estimates the possible consequences of middleware disruptions on interconnected enterprise services. The invention further provides intelligent recommendations for improving infrastructure reliability and operational continuity. The proposed system aims to enhance enterprise dependency visibility, reduce manual dependency mapping, support proactive failure assessment, and improve resilience management in complex distributed enterprise environments.
Disclaimer: Curated by HT Syndication.
