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AI-Driven Identity and Financial Fraud Detection for National Security

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  • Prashis Raghuwanshi

Abstract

In the digital age, financial systems and personal identities are increasingly targeted for fraud by sophisticated actors, including criminal organizations, terrorist groups, and rogue states. The U.S., as a global financial hub, faces unique challenges in mitigating these threats, which have direct implications for national security. The rise of cloud-native AI-based systems offers a powerful solution for detecting and preventing identity and financial fraud at scale. Leveraging artificial intelligence (AI) in a cloud-native environment enables federal agencies and private-sector institutions to uncover fraudulent transactions, trace illicit funds, and disrupt organized networks with unprecedented speed and accuracy.

Suggested Citation

  • Prashis Raghuwanshi, 2024. "AI-Driven Identity and Financial Fraud Detection for National Security," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 7(01), pages 38-51.
    • Handle: RePEc:das:njaigs:v:7:y:2024:i:01:p:38-51:id:294
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    References listed on IDEAS

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    1. Maher Gerges & Ahmed Elgalb, 2024. "Comprehensive Comparative Analysis of Mobile Apps Development Approaches," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 6(1), pages 430-437.
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