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

Year: 2025
Type: article
Abstract: 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.
Language: English
Open Access status: hybrid
OpenAlex ID: W4409589999
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