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| 21 Apr 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
A vulnerability in an artificial intelligence-driven visualization platform can allow an attacker to extract business data without logging in, without any action from the victim and without triggering the security controls many enterprises rely on. More here
Dark Reading Confidential Episode 20: Expert Rich Mogull reflects on lessons cyber teams should pull from the OpenAI agent's attack on Hugging Face. More...
New research shows how attackers can use security alerts and blocked events to manipulate and hijack AI agents. More...
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are … More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...
Dark Reading Confidential Episode 20: Expert Rich Mogull reflects on lessons cyber teams should pull from the OpenAI agent's attack on Hugging Face. More...
New research shows how attackers can use security alerts and blocked events to manipulate and hijack AI agents. More...
A study of more than 6,000 patches found that even working patches can introduce new bugs, break something else, or are … More...
Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective. More...
A myriad of software makes up the typical AI harness, and trust issues between the components can create concerning atta… More...