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

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
Controls
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article

AI-Driven Identity and Financial Fraud Detection for National Security

Prashis Raghuwanshi
3 citations
Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
Imbalanced Data Classification Techniques
1.04
article

AI-Driven Identity and Financial Fraud Detection for National Security

Prashis Raghuwanshi
article en
3 citations

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.

Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023Vol. 7(01)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Imbalanced Data Classification Techniques
1.04
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