“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Fintech is technology in finance. By “technology” today, I mean artificial intelligence. Artificial intelligence is ...

Microblink, a provider of AI-powered identity verification, released new findings from its Fraud Lab showing a sharp ...

One government agency improved its detection of identity fraud using AI-driven alerts and a smart triage system. Within a few ...

AI investments in enterprises often stall without quality data. Discover why unified, context-rich data is key to successful ...

The integration enhances the platform’s existing PAD capabilities with new signals on both live and pre-recorded AI-generated ...

Hemanth Kumar Padakanti transformed Angi's AI capabilities by architecting a secure, automated MLOps platform that reduced ...

Experts highlight a real gap between platform-reported performance and what marketers see on the ground, making it hard to ...

Exploring the journey of AI adoption in Indian enterprises, this article highlights the current state, challenges, and future ...