MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621062712 A) filed by Anuja Rajesh Jadhav on May 18, 2026, for A System And Method For Institutional Dependency Cascade Failure Prediction Using Multi-Layer Ai-Based Risk Scoring, Explainable Reason Codes, And Preventive Recommendation Automation.
Inventors include Gaurav; and Anuja Rajesh Jadhav.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The invention relates to an artificial intelligence based institutional dependency cascade failure prediction system. The system receives multi-source institutional dependency data, converts the data into normalized dependency risk parameters, computes a cascade vulnerability score, predicts probability of institutional failure, generates explainable reason codes, and recommends preventive actions. The system assists administrators, governance bodies, and decision makers in identifying hidden dependency concentration, process fragility, financial buffer weakness, data gaps, vendor dependency, compliance fragility, and interdepartmental coupling before institutional disruption occurs.
Disclaimer: Curated by HT Syndication.
