Розробка моделі управління фінансовою безпекою бізнес-проєктів в умовах цифровізації

The object of research is the financial security of business projects in the context of the digital transformation of the economy. The issue tackled relates to the increasing frequency of internal and external financial threats that undermine business stability while conventional management methods do not take into account the new challenges of the digital economy. Methods of financial security management have been proposed that integrate classical approaches (administrative, economic, organizational, mathematical, socio-psychological) with digital technologies – artificial intelligence, Big Data, blockchain, and cloud platforms. Such integration provides multi-level protection against risks, allows for timely identification of threats, increases the accuracy of financial forecasting, as well as contributes to the adaptability and efficiency of management decisions. The results make it possible to solve the task of increasing the financial stability of business projects in a changing environment through the comprehensive approach and adaptability of the model, which is based on a combination of systemic and interdisciplinary approaches with the active use of digital tools. The proposed structural diagram of the financial security management model of business projects makes it possible to minimize losses, increase investment attractiveness, and devise effective anti-crisis strategies. Comparative analysis based on empirical data and international experience has revealed a significant advantage of digital models: the efficiency of systems using intelligent technologies exceeds the results of conventional approaches by an average of 30%. In particular, it was established that the use of adaptive digital models ensures operational identification of risks, increases the accuracy of financial forecasting, and minimizes the likelihood of crisis scenarios. Practical areas for improving management strategies for financial security of business projects have been outlined, in particular through the development of digital infrastructure, automation of control, introduction of a dynamic budgeting system, as well as predictive and analytical risk management models