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This book provides an in-depth exploration of how artificial intelligence is reshaping the security and governance of digital financial ecosystems. The book examines the vulnerabilities of blockchain networks, from money laundering and market manipulation to pump-and-dump schemes, and demonstrates how AI-powered tools-such as machine learning, natural language processing, and graph analytics-can detect anomalies, trace illicit transactions, and strengthen compliance frameworks. It also highlights the role of predictive modelling and real-time monitoring in identifying emerging risks and ensuring regulatory adherence across jurisdictions. By combining theoretical foundations with practical case studies, this work offers valuable insights for researchers, regulators, and financial institutions aiming to build safer, more transparent cryptocurrency markets. It emphasizes the intersection of innovation, ethics, and compliance, showing how AI can foster trust in the rapidly evolving blockchain economy.
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