Lamia Alsakkaf, IU International University of Applied Science, Germany
Ahmed Taha, IU International University of Applied Science, Germany
Jörn-Marc Schmidt, IU International University of Applied Science, Germany
As organizations increasingly adopt cloud technologies, security remains a major concern. Hence, effective cloud security solutions, such as Cloud Security Posture Management (CSPM), are vital. Selecting an optimal CSPM is a challenge for organizations, since every organization has specific security requirements. In order to address this gap, this study proposes a Multi Criteria Decision Making (MCDM)-based method assisting organizations in selecting the best CSPM solution in alignment with their requirements. The proposed evaluation approach is based on the PROMOTHEE II outranking technique, considering both qualitative and quantitative attributes. The method guides organizations through a step-by-step process, starting from identifying their specific security requirements and ending with the selection of an optimal CSPM solution. This assessment framework enables organizations to confidently differentiate between CSPM solutions that equally satisfy their needs and those that over-provision, ensuring optimal resource allocation and security posture.