Ensuring confidentiality and data security in economic analysis of business entities: Challenges and solutions

Abstract

In today's world, where digitization permeates all spheres of our lives, the issue of confidentiality and data security becomes particularly relevant. The significant dependence of businesses on the processing and analysis of large volumes of data necessitates a complete understanding of the risks associated with their storage and processing. Given this circumstance, the present investigation focuses on identifying and scrutinizing the primary obstacles and measures to guarantee data confidentiality and security within the economic analysis of business entities. The topic's relevance is enhanced by the constant development of technologies and the increasingly palpable growth of cyber threats, which require the development of innovative approaches and methods of information protection. The analysis conducted in this study allows us to establish that the main challenges for ensuring data security include not only technical aspects but also the need to balance confidentiality and usability, as well as between centralized and decentralized data storage. It has been revealed that adequate confidentiality requires a comprehensive approach, including modern encryption technologies and authentication and the development of internal security policies and employee training programs. The study's conclusions underscore that ensuring data confidentiality and security requires coordinated interaction between technical solutions and organizational measures. Emphasis is placed on the importance of innovative technologies, such as artificial intelligence and blockchain, for enhancing security levels. The obtained results have significant practical implications for business entities, enabling them to develop and implement effective data protection strategies. For further research, it is proposed to focus on developing adaptive protection models capable of resisting the changing conditions of the digital environment.