This thesis addresses the issue of risk management in trade, with a particular focus on the challenges faced by companies in a globalized and digitized business environment. Trade as an activity involves various types of risks, the most significant being financial, market, operational, and regulatory risks. The paper thoroughly explores the processes of risk identification, assessing their severity, and developing appropriate strategies for mitigating them. Emphasis is placed on the need for businesses to adapt their strategies according to market changes, such as price fluctuations, changes in regulations, and uncertainties in supply chains.Special attention is given to the role of digital technologies in risk reduction, including data management systems, artificial intelligence, and big data analytics. Additionally, the thesis examines practical case studies to demonstrate how companies successfully manage risks and achieve long-term competitive advantages. Finally, the paper highlights the importance of continuous monitoring and adaptation in response to the growing shifts in the global market.