DIGITAL TECHNOLOGIES IN ANTI-CORRUPTION MANAGEMENT OF ENTERPRISES: THE POTENTIAL OF BLOCKCHAIN, BIG DATA AND ARTIFICIAL INTELLIGENCE IN MINIMIZING CORRUPTION RISKS
Abstract
This article provides a comprehensive examination of the role of digital technologies in strengthening anti-corruption compliance systems within enterprises, with a specific focus on enhancing corporate economic security. The study explores the functional potential of blockchain, Big Data analytics, and artificial intelligence (AI) in the prevention, detection, and prediction of corruption risks. It is substantiated that the integration of these technologies into compliance architectures enables a transition from reactive control models to proactive and adaptive risk management systems. A three-level model for the implementation of digital anti-corruption compliance is proposed: the technological level (infrastructure development and blockchain integration), the analytical level (application of AI and Big Data in risk monitoring and anomaly detection), and the managerial level (establishment of a digital integrity culture and alignment with strategic governance processes). Based on modeling and expert analysis, it is demonstrated that the comprehensive adoption of digital solutions can reduce the probability of corruption incidents by up to 50%, shorten response time by up to 60%, and lower financial and reputational losses by 30–40%. The study identifies and analyzes systemic barriers to digital transformation, including insufficient digital literacy among personnel, underdeveloped regulatory frameworks for AI and data governance, and limited financial resources for technology implementation. These constraints reduce the scalability and replicability of advanced compliance systems in certain sectors of the economy. The article concludes that digital compliance technologies are not merely tools for automation but serve as strategic assets in creating transparent, resilient, and trust-based corporate environments. Further research is suggested to focus on cross-sectoral validation of the proposed model, assessment of the digital maturity of enterprises, exploration of ethical dilemmas related to AI-based surveillance, and development of flexible regulatory guidelines that account for emerging technological realities. The integration of digital instruments into anti-corruption policy is framed as a critical factor in ensuring sustainable corporate development, particularly in transition and post-crisis economies
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