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 new info-stealing malware named Infinity Stealer is targeting macOS systems with a Python payload packaged as an executable using the open-source Nuitka compiler. The attack uses the ClickFix ...
A large-scale malware campaign is targeting developers on GitHub, using fake Visual Studio Code security alerts to trick users into downloading malicious payloads and exposing system data. According ...
Abstract: The number of malware attacks has been growing at an alarming rate especially in the recent years. Cyber criminals equip themselves with the latest technologies and discover new methods of ...
Abstract: This work introduces a deep learning model for malware identification, using features derived from the dynamic network behavior of executables. The dataset comprises 78 numerical features ...
During tax season, threat actors reliably take advantage of the urgency and familiarity of time-sensitive emails, including refund notices, payroll forms, filing reminders, and requests from tax ...