Suspected digital fraud continues to impact businesses worldwide. In a recent TransUnion survey of 1,200 business leaders, respondents reported fraud losses totaling $534 billion. To help companies ...

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

Financial crime is a constantly shifting threat. Fraudsters operate with unprecedented speed, scale, and technological capability. Their sole intent is to exploit any gap left unprotected, the most ...

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

Abstract: With the fast growth in online payments, detection of fraud in financial transactions has become an essential problem. Rule-based systems no longer work because fraudulent patterns change ...

Telecom companies should invest in sophisticated anti-fraud tools that employ machine learning and Artificial Intelligence (AI) to enhance detection and response times while conducting regular audits ...

Survey shows that 61.2% now use AI or machine learning in live settings. Generative artificial intelligence (AI) is moving ...

AI has been behind some of the social services abuse uncovered in the state. Officials are using machine learning to sift through thousands of provider claims to uncover crimes.

Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...

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 ...