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| 7 Jul 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
The first documented case of an end-to-end ransomware operation executed autonomously by a large language model (LLM) has successfully performed extortion without a human operator, ushering in a new era in cyberattacks that has long been expected by security experts.
Researchers at Sysdig discovered a campaign run by an "agentic threat actor" (ATA) they call JadePuffer, which exploited a flaw in an Internet-facing Langflow deployment and then pivoted to a production database server to run an adaptive and fully automated ransomware campaign, according to a recent report. 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...