A Review of Financial Information Security Technologies Based on Blockchain and Artificial Intelligence

Abstract

As FinTech advances rapidly, information security plays a key role in maintaining the stability of the modern financial system. Yet, traditional centralized security systems are increasingly revealing their limitations when facing new attacks like Advanced Persistent Threats (APTs), data tampering, and identity theft. In response, blockchain and artificial intelligence (AI), as two disruptive technologies, provide new ways to ensure data integrity and boost intelligent defense, respectively. Blockchain achieves data tamper-proofing and transparent traceability via decentralized ledgers, encryption mechanisms, and consensus algorithms, while AI utilizes machine learning and deep learning to enable smart detection, real-time monitoring, and risk alerting. Through the literature review and case studies, this paper explores the core connotations and risk environment of financial information security, systematically elucidating the application mechanisms, synergistic effects, and integration paths of blockchain and AI in the financial field. The study finds that the combination of the two significantly improves the security and intelligence level of the system in areas such as fraud prevention, risk control, privacy protection, and compliance auditing, demonstrating scalable innovation potential. In light of persistent issues like privacy protection, algorithm credibility, and regulatory standardization, this paper outlines potential future enhancements, offering theoretical guidance and practical insights for developing an intelligent and reliable financial information security framework.