AI is about to go mainstream. It will show up in the connected home, in your car, and everywhere else. While it's not as glamorous as the sentient beings that turn on us in futuristic theme parks, the ...

Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...

A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

A groundbreaking CLARA Analytics study on fraud detection in property and casualty insurance claims has revealed that advanced analytical methods can accurately identify potential fraud indicators ...

AI continues to gain momentum, and according to a recent report by Accenture, the technology is predicted to add $1.2 trillion in value to the financial sector by 2035. As the head of a platform that ...

Payments risk management has evolved significantly, shifting from simple rules-based systems to sophisticated machine learning (ML) models that enable businesses to better detect and mitigate fraud.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More On pace to defraud financial and commerce systems by nearly $5 billion by ...

As Indian businesses expand into global markets, cross-border payments are becoming both a growth opportunity and a potential risk. Fraud, chargebacks ...