Abstract: The rapid evolution of financial fraud in banking and e-commerce renders conventional detection techniques insufficient. This work presents a Graph Contrastive Learning (GCL) framework, ...

FIRST ON FOX: Vice President JD Vance is ramping up the administration’s targeting of fraud after President Donald Trump appointed him to head an anti-fraud task force last week, including the ...

Abstract: With digital transactions becoming the norm, fraud in financial systems—especially credit card fraud— is growing fast. Traditional fraud detection methods are no longer sufficient. They’re ...

FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...

Tool helps payers identify synthetic or manipulated medical documentation and images earlier, strengthening fraud prevention and protecting provider trust Codoxo, the leading provider of AI and ...

Darwinium Holdings Inc., an artificial intelligence-based digital security and fraud-prevention platform, launched its AI agent fraud-detection solution early Tuesday. The technology is expected to ...

WASHINGTON — The Department of Veterans Affairs plans to launch an automated fraud-detection tool to scan more than a million disability benefits questionnaires for evidence of fabrication or other ...

Bybit’s new AI-driven risk framework intercepted $300 million in fraudulent withdrawals in Q4 2025, protecting 4,000 users. Summary is AI generated, newsroom reviewed. Bybit’s AI system intercepts ...

End-to-end Fraud Detection system using Deep Learning & Random Forest, featuring a Power BI Profit Optimization Dashboard to balance operational costs vs. fraud losses.

Massachusetts is among the worst states in the country in fraud detection, an expert says, as several public benefits fraud schemes have been uncovered recently by both federal and state investigators ...

A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack involving obfuscation, disposable infrastructure and commercial offensive tools.