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.
AI-powered attacks are evading EDR via steganography, AV abuse, and automation, forcing a shift toward combined NDR and EDR ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Researchers from OpenAI, Anthropic, and Google DeepMind found that adaptive attacks bypassed 12 AI defenses that claimed near ...
The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.
Great White Approaches From Deep #greatwhite our mission White Shark Ocean are a passionate group of shark enthusiasts with a wide range of skills that have come together to give a glimpse into the ...
Threat actors are testing malware that incorporates large language models (LLMs) to create malware that can evade detection by security tools. In an analysis published earlier this month, Google's ...
China-linked APT24 hackers have been using a previously undocumented malware called BadAudio in a three-year espionage campaign that recently switched to more sophisticated attack methods. Since 2022, ...
ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
I'm sorry Dave, I'm afraid I can't do that. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Google has recently warned "adversaries are no longer ...