MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541125631 A) filed by Saveetha Engineering College, Chennai, Tamil Nadu, on Dec. 12, 2025, for 'multi layer risk concentration detection framework for corporates using deep financial mapping.'
Inventor(s) include Dr. K. Selvi; and Dr. A. Suresh Kumar.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention provides a comprehensive and intelligent framework for detecting, analysing, and interpreting risk concentration across multiple financial and operational layers within corporate entities. Corporate risk environments have grown increasingly interconnected, with vulnerabilities often arising from hidden dependencies, layered financial structures, and indirect exposure channels that traditional risk assessment tools fail to capture. To address this gap, the present invention 'introduces a Multi-Layer Risk Concentration Detection J Framework that leverages deep financial mapping, relational analytics, and multi-level risk evaluation techniques. The framework operates through an integrated architecture comprising a Data Integration and Pre-Processing Module, a Deep Financial Mapping Engine, a Multi-Layer Risk Analysis and Scoring Module, and a Risk Concentration Detection and Alert System. These components collectively assimilate heterogeneous data-such as financial statements, operational dependencies, subsidiary structures, supply chain interactions, capital allocations, and regulatory obligations-and convert them into a unified multi-layer analytical environment. The invention constructs a structured representation of corporate financial dynamics using a multi-layer financial graph that captures direct interactions, cross-layer linkages, hidden exposures, and indirect propagation pathways. The system computes layer-specific risk scores and synthesizes them into a Composite Multi-Layer Rjsk Score, enabling identification of cumulative and systemic risk accumulation. Through simulation and dependency-weighted modelling, the invention detects emerging risk clusters, amplification zones, and concentration points that remain invisible under conventional financial evaluation methods. The framework further includes an intelligent early-warning mechanism capable of generating predictive alerts, trend-based notifications, and real-time anomaly detection. It provides visual and analytical outputs such as multi-layer heatmaps, risk propagation pathways, and interdependency dashboards, supporting corporate managers, auditors, and regulators in proactive decision-making. By uncovering deep-layered, interconnected, and evolving risk structures, the invention enhances organizational risk transparency, strengthens financial governance, and improves long-term resilience. The solution is applicable across industries and can be integrated into enterprise risk management systems, digital audit platforms, or corporate financial analytics tools."
Disclaimer: Curated by HT Syndication.
