Methods and Systems for Inferring Behavior and Vulnerabilities from Process Models (US Patent No. 11,190,535)
Systems and methods for process models to determine systems behavior and vulnerabilities are provided. In one embodiment, a method comprises collecting event logs from monitoring systems communicatively coupled to a computing device, each event log indicating an event occurring at a given time at a given activity within a process, measuring transition times between activities of the process from the event logs, calculating, from the measured transition times, a capacity of an activity of the activities, inferring behavior and vulnerabilities of the process based on one or more of the measured transition times and the capacity, and generating natural language output indicating the inferred behavior and vulnerabilities of the process. Further, simulations of the process are performed with statistical data regarding the event logs as input. In this way, aspects of a process such as an operational process in need of attention or vulnerable to external attacks may be rapidly identified and actions for resolution may be automatically recommended.