
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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AI-Driven Payment Gateways: Spotting Fraud Before It Happens: Securing Your Credit Card Without You Knowing
Author(s) | Puneet Sharma |
---|---|
Country | United States |
Abstract | In today’s rapidly evolving financial ecosystem, artificial intelligence (AI) has emerged as a cornerstone of payment gateway innovation. Leveraging AI-driven fraud detection, payment systems now possess the ability to identify and mitigate fraudulent activities in real time, often before they can cause harm. These advanced algorithms analyze vast amounts of data to detect anomalies, identify emerging threats, and protect consumers without disrupting their experience. This paper explores the transformative role of AI in enhancing payment security, focusing on predictive analytics, behavioral modeling, and anomaly detection. It also delves into implementation challenges, ethical considerations, and future trends. By examining real-world applications and the convergence of AI with other emerging technologies, we shed light on how AI is redefining the trustworthiness and resilience of payment gateways. |
Keywords | AI in Payment Systems, Fraud Detection, Predictive Analytics, Behavioral Modeling, Anomaly Detection, Real-Time Payment Security, Financial Technology, User Experience Optimization |
Field | Engineering |
Published In | Volume 5, Issue 4, July-August 2023 |
Published On | 2023-08-09 |
DOI | https://doi.org/10.36948/ijfmr.2023.v05i04.35254 |
Short DOI | https://doi.org/g82h35 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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