ARTIFICIAL INTELLIGENCE AS A TOOL FOR PROTECTING ECONOMIC INFORMATION AND TO ENSURING ENTERPRISE ECONOMIC SECURITY

Digital transformation, platformization of business processes, and the rapid growth of cyber–economic threats have significantly increased the vulnerability of enterprise economic information systems. Traditional protection mechanisms based on static rules, signature detection, and periodic audits are no longer sufficient to counter modern intelligent attacks, data leaks, fraud schemes, and internal risks. In this context, artificial intelligence (AI) technologies are becoming a key tool for ensuring enterprise economic security through proactive monitoring, predictive analytics, and automated response to threats. This paper investigates the theoretical and methodological foundations of applying artificial intelligence for protecting economic information and strengthening enterprise economic security. The study systematizes AI tools, including machine learning, deep learning, anomaly detection, and intelligent decision-support systems, and evaluates their role in risk identification, fraud prevention, cyber protection, and financial stability assurance. A conceptual model integrating AI into the enterprise economic security management system is proposed. The results demonstrate that AI-based approaches significantly reduce information risks, improve response speed, and enhance managerial decision-making, thereby increasing overall economic resilience and competitiveness of enterprises.