In efforts to help assist financial companies and auditors, two Virginia Tech professors are developing software that will allow for a more advanced way to detect fraud. other information, can raise ...

Using wide-ranging data and enforcement insight, Professor Chris Elliott outlines food fraud predictions and trends for 2026 ...

Counterfeit or low-quality products—such as olive oil made from dyed rapeseed oil—are often difficult or impossible to ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing systems often rely on the limited data of individual institutions and this ...

The Philippine Health Insurance Corporation (PhilHealth) is eyeing the use of an artificial intelligence (AI)–powered pre-validation system to ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

HHS’ Office of the Inspector General has issued a report urging CMS to develop a set of best practices for its Medicare contractors on detecting fraud associated with electronic health records. The ...