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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

AI-driven fraud detection and security: A transformative approach for financial services cloud environments

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Srinath Reddy Palla *

Salesforce, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 2040-2050

Article DOI: 10.30574/wjarr.2025.26.1.1296

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1296

Received on 05 March 2025; revised on 14 April 2025; accepted on 16 April 2025

The financial sector faces unprecedented challenges in fraud prevention, driven by increasingly sophisticated cyber threats and evolving technological landscapes. This article explores the transformative potential of artificial intelligence in revolutionizing financial security frameworks, examining comprehensive approaches to detecting and mitigating fraudulent activities across multiple channels. By integrating advanced machine learning techniques, natural language processing, and behavioral analytics, the article demonstrates a paradigm shift from reactive to proactive security methodologies, addressing critical gaps in traditional fraud detection systems through innovative technological interventions. 

Artificial Intelligence; Fraud Detection; Financial Security; Machine Learning; Cybersecurity

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1296.pdf

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Srinath Reddy Palla. AI-driven fraud detection and security: A transformative approach for financial services cloud environments. World Journal of Advanced Research and Reviews, 2025, 26(01), 2040-2050. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1296.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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