Tech Xplore

Watching the detectors: Researchers probe efficacy—and danger—of AI detection tools

Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of ...
Combat Aviator on MSN

Mobile IADS hunting: USAF SEAD vs. Russian S-300/400 systems

The thunderous roar of jet engines pierces the pre-dawn darkness as a formation of F-35 Lightning II fighters slides through ...
Security Boulevard

Best SOC Platform

Cyber threats are evolving faster than traditional security teams can respond. Organizations across industries face sophisticated ransomware attacks, insider threats, phishing campaigns, advanced ...
Microsoft

Exposing Fox Tempest: A malware-signing service operation

Fox Tempest is a financially motivated threat actor operating a malware‑signing‑as‑a‑service (MSaaS) used by other ...

5 ways to fortify your network against the new speed of AI attacks

As attackers get more sophisticated and persistent, IT workers have to step up their game as well. Here's how to do that in ...

Continuous Detection, Continuous Response: Mate Security Says Converged Reasoning May Define The Next SOC Architecture

That idea is at the center of Continuous Detection, Continuous Response (CDCR), a new framework implemented through Mate ...
IEEE

A Lightweight and Explainable Machine Learning Approach for Intrusion Detection

Abstract: In the digital era, the detection of malicious network activities and an unauthorized and still remains a critical challenge. Intrusion Detection Systems (IDS) is a vital player in ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...