In the process of transmission channels functioning, the results of the work of bodies for detecting and blocking information leakage channels are not sufficiently taken into account. Management of information protection channels is actually the collection and display of data followed by the assignment of influence on each information channel separately and is carried out in manual mode. In decision support systems, the tasks of identifying information leakage channels are not solved. There is a contradiction between the requirements for the automation of the management of information protection channels and the possibility of meeting these requirements at the expense of the available automation tools. Classical theory considers the decision-making process as a choice of one of many alternatives. The development of rational forms and methods of managing information protection channels should prevent threats and challenges. Therefore, the object of research is the process of ensuring security during data transmission through information channels. The main threats and challenges are man-made and natural cataclysms, terrorism, aggression by a number of states or individual groups of people, which are not taken into account in the complex in the decision-making system during the management of information protection channels. A structural diagram of information exchange based on the description of a weakly formalized process under conditions of non-stochastic uncertainty is proposed. It is proposed to use the logical-linguistic production model. For a hierarchically organized structure based on classification features, it is proposed to build a hierarchy tree that takes into account the relationships of partially ordered sets. The formed production rules for determining appropriate strategies for the planned detection of information leakage channels based on predicted values allow to proceed to knowledge processing for the synthesis of an automated decision-making system during the management of protection channels