Using machine learning to detect problem gambling and fraudIssued by Reinart NienaberJohannesburg, 27 Oct 2025 Betting companies train machine learning programs to monitor players’ behaviour. AI ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

Meet Herodotus: an Android banking malware strain that acts like a real user, slipping past detection to steal money and more.

By combining strong systems with alert, informed teams and staying prepared through smart apps, we can protect the digital ...

Gradient Labs, an artificial intelligence (AI) platform that targets conversational engagements for finance, is looking to ...

Rocket CRM today announced the launch of its enhanced CRM automation system, marking an important advancement in how the company supports businesses in managing customer relationships, sales pipelines ...

An AI tool trained on chemical signatures from corpse-eating insects may help determine time and place of death for victims of violent crimes.

At one of the world’s largest telcos, Randeep Singh Sekhon’s task is to ensure our daily digital lives run smoothly. Sekhon ...

Solutions included intelligent job verification systems to detect fraudulent recruitment offers and secure and anonymous ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

"This collaboration redefines security operations by enabling analysts to build and deploy specialized AI agents at scale, leveraging trusted, enterprise-grade security with Nemotron models," writes ...

You click, you wait, a robot test pops up. Your screen blames ‘automated behaviour’. You did nothing wrong. Or did you?