This paper outlines a comprehensive approach to revolutionizing banking security by integrating Artificial Intelligence (AI), Blockchain, and Business Intelligence (BI). The dynamic landscape of banking has heightened the need for robust cybersecurity measures to protect sensitive financial data and ensure transaction integrity. Traditional security approaches are often reactive and struggle to keep pace with evolving cyber threats. The integration of AI, Blockchain, and BI offers a paradigm shift in banking security, providing proactive defense mechanisms and enhanced transaction security. AI, with its advanced algorithms and machine learning capabilities, enables continuous monitoring of transactions and network activities, swiftly detecting anomalies and potential security breaches. Blockchain introduces a decentralized and immutable ledger, ensuring transactional data remains tamper-proof and verifiable, reducing the risk of fraud and unauthorized access. BI complements these technologies by providing actionable insights derived from data analytics, enabling banks to gain deeper understanding of their security posture and prioritize remediation efforts. The paper highlights the challenges and research gaps in implementing these technologies, including technical complexities, organizational barriers, regulatory compliance, and ethical considerations. It emphasizes the importance of collaboration, innovation, and adaptability in fortifying cybersecurity within the banking sector. By leveraging the unique capabilities of AI, Blockchain, and BI, banking institutions can enhance their cybersecurity defenses, safeguard customer data, and maintain trust in an increasingly digital world.This paper outlines a comprehensive approach to revolutionizing banking security by integrating Artificial Intelligence (AI), Blockchain, and Business Intelligence (BI). The dynamic landscape of banking has heightened the need for robust cybersecurity measures to protect sensitive financial data and ensure transaction integrity. Traditional security approaches are often reactive and struggle to keep pace with evolving cyber threats. The integration of AI, Blockchain, and BI offers a paradigm shift in banking security, providing proactive defense mechanisms and enhanced transaction security. AI, with its advanced algorithms and machine learning capabilities, enables continuous monitoring of transactions and network activities, swiftly detecting anomalies and potential security breaches. Blockchain introduces a decentralized and immutable ledger, ensuring transactional data remains tamper-proof and verifiable, reducing the risk of fraud and unauthorized access. BI complements these technologies by providing actionable insights derived from data analytics, enabling banks to gain deeper understanding of their security posture and prioritize remediation efforts. The paper highlights the challenges and research gaps in implementing these technologies, including technical complexities, organizational barriers, regulatory compliance, and ethical considerations. It emphasizes the importance of collaboration, innovation, and adaptability in fortifying cybersecurity within the banking sector. By leveraging the unique capabilities of AI, Blockchain, and BI, banking institutions can enhance their cybersecurity defenses, safeguard customer data, and maintain trust in an increasingly digital world.