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| 7 Jul 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
Chinese companies released two new AI models in the past month that have pushed the boundaries of the nation's capabilities for vulnerabilities discovery and caused concerns among some cybersecurity experts.
On June 13, Chinese firm Zhipu AI released an open-weight model, GLM 5.2, that subsequent testing found outperforms Anthropic's Opus and Open AI's GPT-5.5 on some bug-finding benchmarks and costs only $0.17 per vulnerability found. Two weeks later, another firm, 360 Security Technology, released a frontier-model-based security tool, Tulongfeng (aka "Dragon Saber"), that its founder touted as China's version of Mythos, claiming it had already found more than 3,400 vulnerabilities, according to a Reuters report. More here
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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...