Abstract
<jats:p>This article examines the specific features of managing cross-border security projects under martial law, which are characterised by a high degree of uncertainty, the complexity of coordinating participants, and the influence of a multi-factorial external environment. It demonstrates the relevance of implementing computerised decisionsupport models as a tool for enhancing management efficiency and mitigating risks. An analysis is conducted of the characteristics of implementing cross-border projects in the security sector, as well as contemporary scientific approaches to the use of information technologies, decision-support systems and intelligent methods in project management. A formalised model for representing a cross-border project is proposed, which includes project parameters, environmental factors, risks and stakeholders. On this basis, a computer model for multicriteria evaluation of management decisions has been developed, which allows the optimal course of action to be determined, taking into account efficiency, risks, the alignment of participants’ interests and the influence of external factors. An algorithm for the operation of the computer model has been developed, which ensures a cyclical process of data collection, processing and analysis, as well as the adaptation of decisions to changes in project implementation conditions. A structural diagram of the model has been proposed, which reflects the interrelationship of its main components. A structural diagram of the model is proposed, illustrating the interrelationships between its main components. It has been established that the use of the proposed model enables an improvement in the quality of management decisions, ensures the efficient use of resources, and enhances the sustainability of cross-border projects in the field of security. The practical significance of the work lies in the possibility of using the proposed model to improve the soundness of management decisions, optimise resource utilisation and enhance project resilience. Prospects for further research relate to the development of a software implementation of the model, the integration of artificial intelligence methods, and the testing of the model on real cross-border security projects.</jats:p>