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Associated Press

Machine Learning Enhances Financial Security Measures Against Fraud and National Threats

Prashis Raghuwansh, AI specialist and researcher New research highlights how AI models support fraud detection, law enforcement, and financial institutions worldwide A new research paper published in the Journal of Artificial Intelligence General Science (JAIGS) is drawing attention to the growing role of machine learning in financial fraud detection and national security applications. Authored by AI specialist and researcher Prashis Raghuwanshi, 'AI-Driven Identity and Financial Fraud Detection for National Security' examines how cloud-native artificial intelligence (AI) systems are reshaping real-time monitoring, threat identification, and data coordination across sectors. The paper outlines how supervised, unsupervised, and reinforcement learning models—combined with natural language processing and graph analytics—enable the detection of anomalies in millions of transactions per second. These technologies are increasingly relied upon by federal agencies, financial institutions, and cybersecurity teams to identify patterns that indicate criminal or suspicious financial activity. Real-Time Applications and Notable Case Studies Examples cited in the paper underscore the operational value of AI in high-stakes environments: Broader Impact Across Industries The use of AI for financial threat detection spans multiple sectors: Call for Strategic Collaboration The report emphasizes the importance of continued investment in AI model refinement, integration with cybersecurity systems, and the formation of cross-sector alliances. Regulatory clarity and ethical oversight remain essential to balancing innovation with security. As financial fraud tactics become more advanced, machine learning is increasingly positioned as a critical asset in protecting economic infrastructure and supporting national defense strategies. Media Contact Company Name: SustainSite Contact Person: Prashis Raghuwanshi - Senior Software Engineer & AI Research Email: Send Email City: Los Angeles State: California Country: United States Website: Source: Pulse Media PR