International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Enhanced Secure Identity Verification for Financial Services

Author(s) Mithilesh Ramaswamy
Country USA
Abstract The financial services industry is increasingly targeted by fraud and identity theft due to its reliance on identity verification processes. Traditional verification methods, including document checks and password-based authentication, are proving inadequate against sophisticated attacks such as synthetic identities, document forgery, and deepfake-enabled fraud. This paper proposes an AI-enhanced identity verification framework that integrates multimodal biometrics—such as facial recognition and behavioral analysis—with geolocation data to strengthen security. By leveraging advanced machine learning models trained on diverse real-world datasets, the framework ensures accurate and adaptive fraud detection. Additionally, the integration of privacy safeguards and compliance measures, such as encryption and regulatory adherence, ensures a secure and user-friendly system. This paper outlines the problem, presents a comprehensive solution, and discusses the practical applications and potential impact of this approach on financial systems.
Keywords Identity verification, AI, financial services, facial recognition, behavioral biometrics, machine learning, geolocation verification, cybersecurity, fraud prevention.
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-27
Cite This AI-Enhanced Secure Identity Verification for Financial Services - Mithilesh Ramaswamy - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.26589
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.26589
Short DOI https://doi.org/g8wkqg
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