The Impact of AI on Cyber Threat Detection

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...

Notorious Chinese hacking group Salt Typhoon found lurking in European comms networks

Notorious Chinese hacking group Salt Typhoon has been once again linked to intrusions against telecommunications firms - this time in Europe. A new report from Darktrace claims the group has been ...
Security

KEENFINITY Launches Radionix as its New Intrusion Systems Brand

New Orleans – Sept. 29, 2025 – KEENFINITY Group’s Intrusion & Access Business Unit launches Radionix as its new brand for intrusion alarm systems and unlocks new potential and growth opportunities.
IEEE

Machine Learning Techniques for Feature Reduction in Intrusion Detection Systems: A Comparison

Abstract: in recent years, intrusion detection has emerged as an important technique for network security. Machine learning techniques have been applied to the field of intrusion detection. They can ...
The Aviationist

Northrop Grumman Advances to Phase II of U.S. Army Aviation New Threat Detection System

ITDS Phase II brings ATHENA sensor to Army aircraft, providing 360° situational awareness and enhanced survivability against evolving threats. Northrop Grumman has been selected by the U.S. Army to ...
Nature

Intrusion detection systems and anomaly detection techniques

Intrusion detection systems (IDS) and anomaly detection techniques are critical components of modern cybersecurity, enabling the identification of malicious activities and system irregularities in ...
IEEE

Technical Analysis and Comparison of Intrusion Detection Systems Using Hybrid Machine ...

Abstract: Intrusion Detection Systems (IDS) are critical components in securing network environments against a myriad of cyber threats. The evolution of machine learning (ML) techniques has ...