System and method for performing signal processing and dynamic analysis and forecasting of risk of third parties

US10339484B2 · kind B2 · utility

Assignee

• KPMG LLP · US

Inventors

• Pradeep Pai · New York, US
• Andrea Urban · Stuttgart, DE
• Lawrence Raff · New York, US
• James P. Schneider · Raleigh, US

Key dates

• Filing date: Oct 21, 2016
• Grant date: Jul 2, 2019
• Expiry date: Dec 7, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/0875
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A system and process for forecasting third party disruption that uses a complex computerized network map as part of a risk model may be used to analyze risk for third parties. A number of risk factors or nodes of the map may include a wide range of risks (e.g., corruption) that have an impact on third parties in a geographic region. A baseline risk level may be established by scoring underlying risk measures for respective geographic regions. By executing the risk model using dynamic signal processing in a near real-time manner and considering impact, velocity, likelihood, and interconnectedness of risk factors and the diffusion of risk across a network, potential third party disruption and/or vulnerability can be forecasted.