Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

A real-time financial fraud detection system that combines multiple machine learning approaches with explainable AI to identify suspicious transactions with high accuracy and transparency.

Abstract: This is a real-time face recognition and monitoring system that can be used in applications such as online exam proctoring and security. It uses the face recognition and OpenCV libraries of ...

Abrigo Inc., a provider of credit risk, compliance, and lending solutions for financial institutions, announced early Wednesday the launch of Abrigo Fraud Detection for ACH. The solution detects fraud ...

President Donald Trump lashed out at Minnesota Democrats on social media Sunday, saying they were using the ongoing federal operations to distract from the state's massive fraud issue. Trump made the ...

ABSTRACT: Context and Justification: As financial services undergo accelerated digitalization, the expansion of electronic transactions within digital wallets increases vulnerabilities to fraud, ...

Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...

TransUnion LLC has introduced a major upgrade to its Device Risk fraud-detection platform, adding new capabilities designed to improve device recognition, identify anomalies and apply adaptive machine ...

iProov’s 2024 Threat Intelligence Report found that deepfakes producing “face swaps” that bypass identity verification surged by 704%. Another study by Feedzai found that over 50% of fraud involves ...