Innovations in Payment Processing: Integrating Accelerated Testing for Enhanced Security

Kishore Mullangi ()
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Kishore Mullangi: Visa Inc.

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Abstract: This study uses accelerated testing and modern technology to improve payment processing system security and efficiency. The primary goals are to identify and evaluate blockchain, AI, machine learning, and biometric authentication advances in protection and performance. The study uses secondary data to demonstrate the revolutionary power of these technologies and the importance of automated, continuous, and AI-driven testing. Main findings: blockchain is secure and decentralized, AI and ML improve real-time fraud detection, and biometric authentication lowers unwanted access. Faster testing methods identify and fix vulnerabilities, ensuring system integrity and meet changing regulatory demands. The study emphasizes the need for constant monitoring and investment in advanced testing technologies despite cybersecurity threats, regulatory compliance, interoperability, scalability, and user experience. Policy implications show that integrating these technologies and tackling associated problems can considerably improve payment processing system resilience and reliability, ensuring a secure and seamless user experience in a digital financial ecosystem.

Keywords: Payment Processing; Blockchain; Accelerated Testing; Security Enhancement; Financial Transactions; Risk Management; Fraud Prevention; Machine Learning; Automation (search for similar items in EconPapers)
Date: 2023-07-27
New Economics Papers: this item is included in nep-big and nep-pay
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Published in American Digits: Journal of Computing and Digital Technologies, 2023, 1 (1), pp.18-32

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