Abstract: With the increasing complexity of polymorphic, metamorphic, and zero-day malware, malware detection has become a critical cybersecurity concern. Because traditional signature-based methods ...

CDW’s Nik Alleyne explains why detection, response and adaptability matter more than simply adding security tools.

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

This project aims to detect and classify Windows executable files (.exe) using machine learning techniques. Through static analysis and pattern-based learning, the system identifies whether a file is ...

Security vendors are rapidly incorporating agentic AI capabilities into SIEM, XDR and SOC platforms. Microsoft, Splunk, ...

Separate but similar campaigns described by Microsoft and Trend Micro use malicious zip files to spread malware via social ...

Get confidential computing explained. Learn how hardware-enforced trusted execution environments (TEEs) fully protect ...

Mozilla’s 0din team showed how a Claude Code malware GitHub repo attack could use a clean-looking repository to open a ...

Defenders cannot respond effectively if their operational model still depends entirely on human-scale review cycles and fragmented visibility ...

Abstract: Android malware has continued to grow in volume and complexity posing significant threats to the security of mobile devices and the services they enable. This has prompted increasing ...

Australia's enterprise sector faces rising risks from AI-driven identity attacks. Learn what Australian challenged ...

Small businesses are up against a cybersecurity threat landscape that just keeps getting nastier. Data breaches, ransomware, supply chain vulnerabilities: none ...