A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Attackers are increasingly abandoning noisy, direct attacks in favor of more subtle, stealthy tactics. They are flying under ...

Antivirus apps protect your PC's personal information, data, bank accounts, and other sensitive information. We've tested more than two dozen utilities to help you choose the right antivirus for your ...

PropellerAds delivers billions of impressions across more than 195 countries, which exposes the network to significant ...

Cloud security is not something SMBs can outsource entirely. Vendors secure the infrastructure, but it’s up to businesses to ...

As businesses continue their digital transformation journeys, they are exposed to an ever-expanding attack surface. With the proliferation of cloud environments, remote work, and the increasing use of ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

The cybersecurity landscape is rapidly changing, with hackers increasingly utilising artificial intelligence (AI) to carry ...

Why is Using AI to Protect Data from Cybercriminals Crucial? - IT News Africa | Business Technology, Telecoms and Startup ...

In 2026, weaponised artificial intelligence will redefine conflict in cyberspace, according to predictions from Australian ...