This article is devoted to the issue of real-time risk assessment, which is one of the biggest problems in the financial sector. In particular, it covers risk models implemented within the framework of infinite technology capabilities (INFINITECH) and their integration with relevant technological tools to ensure the processing of large volumes of input data. The presented Infinitech application, in addition to using a number of well-known risk models, also introduces a new model based on deep learning techniques. These assessments can be updated in almost real-time using streaming financial data and can be used to conduct "what if" analysis for portfolio changes. The Infinitech solution can become a valuable tool for professionals involved in high-frequency trading - an area where consistent risk assessment in real time is required. It should be noted that the existing architecture can also be used with different risk models optimized for different financial portfolios. In addition, additional functions can be integrated into the system in the form of microservices, in accordance with the Infinitech reference architecture.
K.A. et al. (2026) studied this question.