SYSTEMS AND METHODS FOR IDENTIFYING, PROFILING AND GENERATING A GRAPHICAL USER INTERFACE DISPLAYING CYBER, OPERATIONAL, AND GEOGRAPHIC RISK

Methods and apparatus consistent with the invention provide the ability to combine data from multiple different sources of risk data, to create a weighted risk model using Bayesian networks and Monte-Carlo simulation to advance a quantified risk outlook. Based on the client risk configuration file, a risk user interface (UI) template is selected and the modelled risk is generated into a graphical user interface (GUI) using the selected risk template to display the GUI at multiple summary levels starting at a high-level overview which will include cyber, economic, legal, brand, operational and geographic risks. The GUI of modelled risk is displayed on the client device using the selected UI template. The system enables the user to drill down into the GUI for any of the categories available in the selected UI template to further examine risk characteristics as well as the actual sources of the risk in the modelled risk.