Optimizing Fraud Remediation through Cloud-Based Card Replacement and Credit Issuance
Year: 2025
Type: article
Abstract: In the payment card industry, fraudulent transactions remain a significant risk that seeks to strike a balance between security and process efficiency. Digital payments continue to proliferate, thereby increasing the demand for effective fraud remediation. The aim of this paper is to assess the workings of fraud remediation with a specific focus on the card replacement and credit issuance processes and cloud-based systems. The study will provide best practices, technologies, and workflows adapted to agility and security in fraud claims that eliminate duplicate claims’ exposure. The paper will emphasize the role of automation, cloud-based persistent databases, and real-time fraud-detection systems able to provide scalable, secure, and efficient solutions. The exploration of damages provides a detailed design of the remediation process in financial services. The focus is placed on the operations in finding fraud detection algorithms, system design, and the database.
Author: Saikrishna Garlapati
Language: English
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949693117
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