Survey the topic of cybersecurity incident response, situational awareness in cybersecurity, and recommender systems and their possible applications in incident response. Design and implement a recommender system that, based on the detection of an attack on a specific target, recommends other targets on which the same attack could be carried out simultaneously or in the near future. Build on previous work on a similar topic using CRUSOE system data and tools. Adapt the newly implemented recommender system to use data from newer tools, such as the Resilmesh platform. Next, design and implement clear user interfaces. First, create a text interface for working in the command line, then create a web frontend with visualizations of recommendations. Evaluate the use of the recommender system using data sets from the CRUSOE and Resilmesh projects. If necessary, expand or enrich the data sets with additional elements. Discuss the possibilities of using the recommender system in practice from the perspective of user-friendliness, input data quality, and other parameters.