"Secure AI for Encrypted Financial Transactions"

Abstract

With the increasing prevalence of digital financial transactions, ensuring the security and privacy of sensitive data has become paramount. This paper explores the integration of secure artificial intelligence (AI) techniques to enhance the safety of encrypted financial transactions. By leveraging advancements in AI, particularly in the domains of machine learning and cryptography, this study proposes innovative methods to protect financial data without compromising transaction efficiency or user experience. The paper examines various AI-driven approaches, including anomaly detection, pattern recognition, and encryption protocols, aimed at fortifying the confidentiality and integrity of financial information during transmission and storage. Furthermore, it discusses the challenges and opportunities associated with implementing secure AI in real-world financial systems, emphasizing the need for robust regulatory frameworks and collaborative efforts among stakeholders to achieve comprehensive security solutions.