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 ...

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 ...

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 ...

At JPMorgan's Investor Day, the bank's leaders talked about how AI is permeating every business, from fraud detection to ...

In an era defined by digital acceleration and mounting cybersecurity threats, Srinath Reddy Palla brings a pioneering perspective to the financial services sector. A noted thought leader, his work ...

Financial institutions are using intelligent automation to optimize productivity, reduce costs, transform insights, and ...

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

Cybercriminals are using AI tools to commit a range of fraudulent crimes and, while machine learning (ML) and AI tools can help companies to detect and prevent fraud, only the active, focused use and ...