APPLICATION OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES IN DETECTING ONLINE FRAUD AND FINANCIAL CRIMES.

Abstract

This article examines the application of artificial intelligence (AI) and Big Data technologies in detecting online fraud and financial crimes. With the rapid growth of digital banking, electronic payments, and online commerce, individuals and financial institutions face increasingly sophisticated cyber threats. AI and Big Data provide powerful tools for analyzing vast volumes of transactional data, identifying unusual patterns, and predicting potential fraudulent activities in real time. The article explores how machine learning algorithms, predictive analytics, and data-driven monitoring systems enhance the efficiency and accuracy of fraud detection, reduce financial losses, and support regulatory compliance. Additionally, it discusses the challenges of implementing these technologies, including data privacy concerns, system integration, and adapting to continuously evolving cybercriminal strategies. The study emphasizes the critical role of AI and Big Data in strengthening financial security, improving decision-making, and safeguarding the integrity of digital financial ecosystems.