Continuous asymmetric risk analysis system and method of operating the same

A method of operating a continuous asymmetric risk analysis system on a processor and memory, comprising:

• receiving a definition of a risk event of a complex system based on a likelihood of said risk event, consequences of said risk event, prevention measures for said risk event, and mitigation measures for said risk event;
• receiving risk event data for said likelihood of said risk event, said consequences of said risk event, said prevention measures for said risk event, and said mitigation measures for said risk event;
• creating a model populated with said risk event data;
• executing Monte Carlo simulations of said model to produce Monte Carlo results based on said risk event data;
• analyzing and aggregating said Monte Carlo results of said likelihood of said risk event, said consequences of said risk event, said prevention measures for said risk event, and said mitigation measures for said risk event to create a nominal risk value of said risk event and asymmetric confidence intervals around said nominal risk value to produce a continuous gradient of outcomes;
• organizing and presenting said outcomes for evaluation;
• and
• prescribing an action for said complex system based on said prevention measures for said risk event and said mitigation measures for said risk event for a selected outcome.