Risk Assessment of Alternative Financial Flows in Entrepreneurship: Digital Assets and Financial Security Management

Abstract

Abstract: Purpose. This scientific study is aimed at the fundamental substantiation and development of a complex of structural and functional models for risk assessment in financial flow management under conditions of unprecedented economic turbulence. The key focus of the research is on integrating alternative digital assets into the overall corporate security system and adapting international risk management standards to ensure business viability under systemic shocks. The work is designed to form a theoretical and methodological basis for the transition from reactive management to a strategy of antifragile enterprise development through the use of digitalization tools and predictive analytics. Methods. The methodological framework of the research is based on a systems approach for designing financial security architecture and a comparative analysis of flexible risk management standards, such as ISO 31000 and COSO ERM. In the process of developing forecasting components, artificial intelligence tools and Monte Carlo simulation modeling were applied to analyze digital asset volatility scenarios. Special attention is paid to behavioral finance concepts to identify and subsequently neutralize cognitive management biases (optimism and anchoring), which enhances the objectivity of investment decisions within debiasing procedures. Results. During the study, the author developed a systemic architecture for ensuring enterprise competitiveness, where flows from digital assets (Crypto Cash Flow) act as a universal integrating element between industry risks and internal resource potential. A functional risk management model has been formed, combining algorithmic treasury with the use of real-world assets (RWA) tokenization and smart contracts to mitigate liquidity threats. The main result is the author's integral financial flow management model, which synthesizes an AI-Driven Forecasting Core, a Risk Orchestration Layer, and a Strategic Allocation Module. It is proven that this approach allows for transforming uncertainty into a competitive advantage and avoiding strategic errors in innovation financing. Conclusions. The implementation of the proposed models ensures an evolutionary transition of the enterprise from short-term survival mode to a state of genuine corporate resilience. The use of an integrated approach allows for effective liquidity protection through hybrid hedging methods that combine financial instruments with operational flexibility mechanisms. Automation of treasury processes and minimization of the human factor in forecasting contribute to strengthening the financial security of business in conditions of limited access to traditional capital. The results of the research form a scientific basis for building antifragile management systems capable not only of withstanding crises but also of developing through the use of the latest digital opportunities.