Prospects for using a trusted information analytical system based on the Talisman platform using artificial intelligence methods to improve the efficiency of complex hardware systems

As a result of the research, mechanisms were proposed and tested to solve applied problems of importing, automatic processing, structuring and analyzing information based on components of the Talisman platform to improve the efficiency of operation of complex hardware systems. A subject area has been developed that allows us to work out similar tasks in other applied areas (testing was carried out on the example of the energy and aviation industries). The results obtained confirm the hypothesis that machine learning methods can be effectively used in complex distributed trusted IAS to solve a range of applied tasks in budget and commercial organizations, in production and in the operation of complex hardware systems.