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 ...

A newly uncovered malware campaign is combining ClickFix delivery with AI generated evasion techniques to steal enterprise user accounts and passwords. The attacks are designed to provide intruders ...

This project focuses on utilizing advanced techniques such as graph reduction, contrastive learning, and large language model (LLM) embeddings to enhance the detection of malware in Android ...

A new malware strain dubbed Slopoly, likely created using generative AI tools, allowed a threat actor to remain on a compromised server for more than a week and steal data in an Interlock ransomware ...

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 ...

Security leaders share how artificial intelligence is changing malware, ransomware, and identity-led intrusions, and how defenses must evolve. SecurityWeek’s Cyber Insights 2026 examines expert ...