Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection models when facing adversaries using generative AI, automated reconnaissance, ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

Hackers abused Microsoft Teams and Quick Assist to deploy A0Backdoor malware at financial and healthcare organizations, researchers warn.

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

File-based malware has long been among the most effective attack vectors employed by threat actors worldwide. While ...

Hackers abused Bing AI search results to promote fake OpenClaw installers on GitHub, spreading Vidar infostealer and other ...

Signed malware backed by a stolen EV certificate deployed legitimate RMM tools to gain persistent access inside enterprise ...

In the famous Broadway musical The Phantom of the Opera, a mysterious, disfigured musical genius lives beneath the Paris Opéra House, hidden in a shroud of secrecy. This “opera ghost” terrorizes the ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

ESET researchers uncovered the first known case of Android malware abusing generative AI for context-aware user interface manipulation. While machine learning has been used to similar ends already – ...