Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Businesses need to adopt Machine Learning (ML)-based, orchestrated fraud decisioning to combat escalating fraud losses and increasingly sophisticated attacks, according to Experian’s latest research ...

Santa Clara, California - As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

Machine learning expert Abylaikhan Azamatov shows how local solutions create global impact through adaptive AI implementation In today’s rapidly evolving technological landscape, artificial ...

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Financial institutions use AI to detect and prevent billions of dollars of fraud each year in areas including account takeover, check fraud, identity theft, money laundering, and terrorist financing, ...

CLARA Analytics research shows that machine learning models can detect suspicious claims two weeks post-filing -- well ahead ...

IBS Intelligence (IBSi) is the world’s only pure-play Financial Technology focused research, advisory, and fintech news ...

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious transactions.

Indian telecom giant Airtel has asked Reliance Jio and Vodafone idea to join forces with it in order to combat telecom fraud ...