The rise of the cloud has revolutionized the way people think about and act on information. Its ability to provide cost-effective and scalable solutions for fraud detection and identity management has revolutionized the way organizations and individuals think about and act on these issues. This paper aims to provide a comprehensive analysis of the significance of the cloud in addressing these challenges. Using advanced technologies such as big data analytics, machine learning, and real-time monitoring and monitoring, cloud-based fraud and identity solutions can help organizations improve their operational efficiency and security. This paper explores the various aspects of fraud detection and identity management that can be achieved through these solutions. The paper investigates the various challenges that can be encountered when implementing cloud-based methods, such as privacy, scalability, and integration issues. Future research initiatives and techniques, like federated learning and quantum computing, as well as artificial intelligence techniques, are also covered. This paper highlights the continuous progress and innovations in the field of fraud management and identity.
Patel et al. (2024) studied this question.