The article is devoted to the development of methods of internal state financial control based on transactional monitoring of operations of participants in the treasury payment system. In 2021, the transition to treasury servicing of the budgets of the budget system of the Russian Federation and the introduction of a treasury payments system were implemented, which led to a modification of the functionality of the Federal Treasury. The status of the Federal Treasury as the chief cashier of budgetary funds was supplemented by the status of a quasi-bank of the budget of the Russian Federation, as a result of which the activities of the Federal Treasury in many respects became similar to those of credit institutions. In this regard, the digital data of the treasury payment system can be used in the system of internal state financial control based on the relevant experience of the banking sector. Automated transactional monitoring of Clients’ operations for the banking sector is a relatively new direction in the internal control system of commercial banks and helps to quickly identify Clients’ operations that bear reputational, credit and other risks for the bank. Automated transactional monitoring of Clients’ operations belongs to anti-fraud class systems. Automated transactional monitoring of operations of participants in the treasury payment system as part of the system of internal state financial control can help to effectively identify the risks of misuse and/or misuse of budgetary funds by controlled departments and organizations. The digitalization of data in relation to public finance inevitably entails the transformation of the methodology and tools of the budget process. Automated monitoring of transaction activity based on data from the treasury payment system can become an effective tool for organizing internal state financial control aimed at identifying possible violations of controlled entities.