Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...

Greg Ulrich is the Chief AI and Data Officer at Mastercard and a member of the company’s Management Committee. He previously served as Executive Vice President of Corporate Strategy and M&A, guiding ...

Abstract: Financial fraud in listed companies poses a significant threat to market stability and investor confidence. Traditional fraud detection methods often struggle to address the complexity and ...

Abstract: This survey paper categorizes, compares, and summarizes the data set, algorithm and performance measurement in almost all published technical and review articles in automated accounting ...

The Economic Offences Wing (EOW) of Delhi Police has launched an investigation into alleged fraudulent GST transactions worth about Rs 374 crore after registering seven cases in November and December ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns remains ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

The proliferation of digital platforms has enabled fraudsters to deploy sophisticated camouflage techniques, such as multi-hop collaborative attacks, to evade detection. Traditional Graph Neural ...