AI-Driven Identity and Financial Fraud Detection for National Security
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.
Authors
- Prashis Raghuwanshi
Publication Details
- Journal
- Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
- Published
- 2024-12-21
- DOI
- https://doi.org/10.60087/jaigs.v7i01.294
- Citations
- 3
- Primary Topic
- Imbalanced Data Classification Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.04