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| 27 Apr 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
Memory files can help artificial intelligence (AI) perform better, but researchers have found they are also a persistent trouble spot.
AI memory files and context data help personalize requests and provide additional information that large language (LLMs) and other foundational AI models can use to deliver the best responses. But a persistent issue is proving to be a fundamental weakness in the security of AI systems. More here
AI worms, or "viruses with wings and brains," adapt to new environments, seek out vulnerabilities, and will likely strike within a year, researchers say. More...
Python scripts were used to test malware against endpoint detection and response agents from Sophos, CrowdStrike, and Wi… More...
Attackers are using AI to dramatically reduce the time they need to develop a working exploit for a CVE, according to ne… More...
High-autonomy agents with broad permissions and unfettered access are a recipe for disaster, and enterprises need to act… More...
AI agents aren't black boxes — they're models interacting with software tools. The risk lies in their overlap. More...
AI worms, or "viruses with wings and brains," adapt to new environments, seek out vulnerabilities, and will likely strike within a year, researchers say. More...
Python scripts were used to test malware against endpoint detection and response agents from Sophos, CrowdStrike, and Wi… More...
Attackers are using AI to dramatically reduce the time they need to develop a working exploit for a CVE, according to ne… More...
High-autonomy agents with broad permissions and unfettered access are a recipe for disaster, and enterprises need to act… More...
AI agents aren't black boxes — they're models interacting with software tools. The risk lies in their overlap. More...
