Hundreds of thousands of credentials from hundreds of companies are already compromised. Experts warn the campaign could ...

Hackers gained access to an API for the CPUID project and changed the download links on the official website to serve ...

A new Lua-based malware, called LucidRook, is being used in spear-phishing campaigns targeting non-governmental organizations ...

In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

In today’s digital age, cyber threats are evolving faster than ever, forcing organizations to rethink traditional security measures. AI-powered cybersecurity ...

Researchers in Moroco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense ...

It started with a work offer. Last year, the blockchain crime-detection firm Crystal Intelligence’s then-vice president of ...

Abstract: In contemporary malware detection, machine learning has proved an essential component; many models are not transparent, making them less trustworthy and rarely suitable for security use. In ...

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...

This project is a comprehensive malware detection system developed as part of a semester project. It combines machine learning with web technologies to provide safe, static analysis of executable ...