Two US cyber experts plead guilty to cooperating with notorious ransomware gang

Two U.S. cybersecurity professionals have pleaded guilty after they were accused of working with a notorious ransomware gang ...
Dark ReadingOpinion

Cybersecurity Predictions 2026: An AI Arms Race and Malware Autonomy

AI-driven attacks, autonomous malware, AI-powered defenses, and the impact of consolidation on the threat landscape.
Bitdefender

Pioneering AI in Cybersecurity since 2008

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...
GitHub

Malware Detection using Deep Learning

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...
Digital Trends

Google flags an AI-powered malware which rewrites itself in real time

What Happened: So, Google’s top security – Google’s Threat Intelligence Group, or GTIG – just found something that is frankly pretty terrifying. It’s a new type of malware they’re calling PROMPTFLUX.
IEEE

A Deep Learning Framework for Malware Classification using NLP Techniques

Abstract: Malware classification is a crucial aspect of cybersecurity, vital for recognizing and addressing potential threats. This study introduces a fresh perspective on malware classification ...
IEEE

Malware Classification Using Deep Learning

Abstract: The rapid advancement of malware implies that malware detection and malware detection methods must advance as well. Signature detection methods are no longer able to adapt to newly evolving ...