Title of the article: risk management methods for the implementation of a big data-based tool in the investment activities of a corporation

This article discusses the theoretical and practical aspects of risk management when implementing a Big Data-based tool in the investment activities of a large corporation. The purpose of the study is to analyze existing approaches to risk management (including using international standards ISO 31000, ISO/IEC 27005, COBIT, COSO ERM, MEHARI and others), identify the main factors influencing the emergence of risks in the process of implementing a big data tool in the investment activities of a corporation, and describe the methods their identification, evaluation, control and reduction. Particular attention is paid to the specific threats that arise when using cloud technologies and platforms for analyzing large amounts of data, as well as the need to ensure compliance with information security requirements (for example, PCI DSS). The article provides recommendations for managers and specialists of investment departments, as well as practical advice on adapting the risk management process to the realities of the digital environment. The scientific novelty of the article is the generalization of disparate approaches to risk management and their adaptation to the use of Big Data in the investment process, which is characterized by increased requirements for the reliability of information and the high cost of potential errors in decision-making.