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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
Cyber adversaries have long used AI, but now attackers are using large language models to develop exploits and orchestrate complex attacks. More...
A proof-of-concept exploit (PoC) shows how someone with admin privileges can exploit the issue to steal passwords, and t… More...
The issue isn't artificial intelligence, but rather an industry adding AI agent integrations into production environment… More...
AI's danger isn't that it's creating new bugs, it's that it's amplifying old ones. More...
The prompt-injection vulnerability in the agentic AI product for filesystem operations was a sanitization issue that all… More...
Cyber adversaries have long used AI, but now attackers are using large language models to develop exploits and orchestrate complex attacks. More...
A proof-of-concept exploit (PoC) shows how someone with admin privileges can exploit the issue to steal passwords, and t… More...
The issue isn't artificial intelligence, but rather an industry adding AI agent integrations into production environment… More...
Cisco found and fixed a significant vulnerability in the way Anthropic handles memories, but experts warn that mishandle… More...
AI's danger isn't that it's creating new bugs, it's that it's amplifying old ones. More...
