The China-backed threat group is targeting AWS, Google, Azure, and Alibaba cloud environments and using typosquatting to ...
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 ...
Researchers in Moroco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense ...
Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google’s Gemini model to adapt its persistence across different devices. In a report today ...
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 ...
Abstract: Malware continues to be the largest issue that Internet users confront in the modern world. Polymorphism is one of this kind of malware's characteristics. Malware that continuously alters ...