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S. Suganya is an Assistant Professor in the Department of Information Technology at K.S.R. College of Engineering, India. Her interests include Artificial Intelligence, data analytics, and secure computing applications.
The swift digital evolution of financial services, e-commerce platforms, cloud infrastructures, and Internet of Things (IoT) ecosystems has markedly heightened the intricacy and magnitude of financial offences. Cybercriminals are progressively utilising interconnected digital platforms to perpetrate fraud, money laundering, identity theft, cyber-enabled scams, and unlawful financial dealings. Financial Crime Analytics (FCA) has arisen as an essential field that utilises Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, and predictive modelling methodologies to identify, examine, and avert financial offences instantaneously. This chapter offers an extensive examination of financial crime analytics inside digital environments, including principal categories of financial offences, analytical models, data repositories, artificial intelligence methodologies, obstacles, and prospective research avenues. The section emphasises the need of astute analytics in establishing secure and robust digital financial systems.