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AI-Driven Identity and Financial Fraud Detection for National Security

Year: 2024
Type: article
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.
Language: English
Open Access status: hybrid
OpenAlex ID: W4405656570
FWCI: 1.9
Cites: 12
Cited by: 5
Related to: 10