AI-Driven Identity and Financial Fraud Detection for National Security

Prashis Raghuwanshi ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 7, issue 01, 38-51

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.

Keywords: Artificial Intelligence; Identity Verification; Financial Fraud Detection; National Security; Cybersecurity; Machine Learning; Fraud Prevention (search for similar items in EconPapers)
Date: 2024
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