AI-driven fraud detection and security: A transformative approach for financial services cloud environments
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.
Institutions
- Salesforce (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-30
- DOI
- https://doi.org/10.5281/zenodo.17231634
- Primary Topic
- Food Security and Health in Diverse Populations
- Type
- article
- Field-Weighted Citation Impact
- 0.00