Internationally, several methodologies and indices have been developed to measure and evaluate the cybersecurity maturity of countries from different perspectives. One of these indices is the Cyber Safety Score (CSS). CSS is a composite index that is calculated as the arithmetic mean of the percentage values of three important cyber security indices: National Cyber Security Index (NCSI), Global Cyber Security Index (GCI) and Cyber Security Exposure Index (CEI). Based on the values of the CSS index, a ranking of countries was created with the aim of highlighting the ten countries that are the least, respectively, the most risky from the point of view of cyber security. The problem of creating an index composed of the three cyber security indexes can be seen as a multi-criteria analysis problem that can be solved with the help of multi-criteria methods. This type of method offers significantly more advantages over simply using the arithmetic mean. Considering this aspect, in this paper, the multi-criteria methods TOPSIS, VIKOR and COPRAS were used in parallel to obtain an ordering of the countries taking into account the same security indices considered by the index CSS. The order obtained with each multi-criteria method is analyzed compared to the order obtained by the Cyber Safety Score.