GIS are systems for gathering, processing and making data available to the system users and thus it allows analysing socioeconomic phenomena changing over time and in space, building scenarios and forecasts as well as taking decisions based on them. The aim of the threatened areas diagnose is to take decisions preventing consequences of terrorist attack. The projection of the risk level and identification of threatened areas supporting the geoinformation system allows correlating them with the Earth surface. It involves forecasting changes in multiple characteristics and the consequences of the attack. Consideration of numerous variables requires time consuming and costly development of multistate models. Based on the conducted review of the literature it is proposed to complement the forecast model with statistical formulas taking into account the elements of uncertainty (random factor) by including the game theory for lotteries to determine the place of terrorist attack using the computer simulator as the tool. Proprietary solution is monitoring and visualization of the degree of risk in GIS technology, which can be an integral part of a program written in Python run as a tool in ArcGIS.

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