HM Revenue and Customs is building a fully digital tax and customs system, using AI to handle routine work connected to tax ...

The democratization of elite offensive capabilities means that the sophisticated attacker is now everyone, everywhere, all at ...

The solution analyses claims both before and after submission to identify risks, improve accuracy, and enhance ...

The United States Department of Justice (DOJ) recently announced the Fraud Oversight through Careful Use of Statistics (FOCUS) initiative – a ...

AI-driven fraud detection at the Ayushman Bharat hackathon aims to combat healthcare fraud and protect public funds effectively.

As manual verification methods continue to show their limitations in modern risk environments, TrustLayer is expanding its AI ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used.

An online rumor that a 193-year-old tortoise named Jonathan had died showed how scams are reaching people and increasingly snaring victims across ages and wealth levels. Last week, a post on X by ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

Every so often, we receive an email that stops us cold. Not because it is dramatic. Not because it is careless. Because it feels impossible. Sheri M. from Georgia recently wrote to us with this ...

Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...