Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

AI-powered attacks are evading EDR via steganography, AV abuse, and automation, forcing a shift toward combined NDR and EDR ...

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

Identity-based attacks are one of the primary paths attackers use to breach corporate networks. Tenfold shows how Identity ...

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...

Great White Approaches From Deep #greatwhite our mission White Shark Ocean are a passionate group of shark enthusiasts with a wide range of skills that have come together to give a glimpse into the ...

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.