The research finds that attackers could program almost any action within a self-driving vehicle’s AI super network to trigger ...
Modern ransomware has shifted from encryption to psychological extortion that exploits fear, liability, and exposure. Flare shows how today's ransomware groups weaponize stolen data and pressure ...
Network traffic monitoring has evolved from a nice-to-have administrative tool into an essential cybersecurity defense ...
Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.
Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow ...
LONDON, UNITED KINGDOM, January 13, 2026 / EINPresswire.com / — Keeper’s unified, cloud-native PAM platform enables Atlassian Williams F1 Team to enforce zero-trust security, control privileged access ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece The advent of 6G/NextG networks offers numerous benefits, ...
An Army-led task force is looking for one command-and-control system that can run any of the counter-unmanned aerial systems equipment that government agencies can buy through their online marketplace ...
This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
The exponential growth of network-based cyberattacks has increased the demand for accurate and adaptive Network Intrusion Detection Systems (NIDS) [1], [2]. In recent years, Machine Learning (ML) has ...
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