MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078834 A) filed by Anuja Rajesh Jadhav on June 26, 2026, for A System And Method For Multi-Layer Risk Scoring And Preventive Recommendation Automation Using Signal Layer Fusion, Contextual Weight Calibration, Risk Contribution Decomposition, Control Effectiveness Estimation, And Action Priority Routing.
Inventors include Gaurav; and Anuja Rajesh Jadhav G.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to an artificial intelligence based multi-layer risk scoring and preventive recommendation automation system and method. The system receives entity risk records, financial exposure signals, compliance gap signals, operational delay signals, dependency fragility signals, human-process drift signals, escalation pressure signals, control effectiveness values, evidence gap indicators, incident history, and dependency edge records. The system performs signal layer fusion, contextual weight calibration according to entity type, contribution decomposition, control effectiveness estimation, residual risk computation, dependency risk propagation, explainable reason-code generation, and action priority routing. The invention produces entity-wise gross risk, control-adjusted residual risk, network- adjusted risk, dominant risk layer, reason codes, required evidence, and preventive action recommendations. The invention enables preventive institutional risk control before multi-layer risk matures into financial loss, compliance breach, operational disruption, dependency collapse, escalation pressure, or governance failure.
Disclaimer: Curated by HT Syndication.
