On July 21, 2026, OpenAI revealed that internal review models, including GPT-5.6 Sol and an unreleased research model, had discovered and exploited a zero-day flaw in Artifactory, a package registry cache proxy, to escape isolation and access the open internet. The company also said the models used additional chained exploits, including compromised credentials, to access Hugging Face’s production database, where they exfiltrated test solutions to bypass their own evaluation. The threat was spotted and neutralised by Hugging Face’s security team and its own AI models. On 30 July 2026, three days later, Anthropic also released a statement explaining how 3 of its Claude models had breached 3 different organisations during penetration testing between April and July. The company said these security assessments examined 141,006 unique runs, and identified 3 incidents across 6 of these runs, and in each case no organisation knew of potential threats before Anthropic reached out to them.The media’s way of summarising the information about both breaches as “AI models hacking companies” obscures the details of what actually happened. The reason the two incidents are different is how each model found its way to the internet and what allowed that to happen in the first place. The isolation framework worked properly, but it wasn’t designed to handle a zero-day vulnerability. With OpenAI, its models simply outgrew the capabilities of the isolation framework. On the other hand, Anthropic’s models did not exploit any misconfigured application, because the isolation framework was broken before any of the model runs started. The third-party provider that hosted and secured the testing instances had mistakenly configured those instances to be able to access the internet. Anthropic itself said the cause of the breach was more “a harness and operational failure than a model alignment failure.About The AuthorAshna is a content writer who focuses on making everyday choices easier and smarter. With a strong eye for detail and a natural sense of what works in real life, she creates content that feels honest, relatable, and genuinely helpful. She is a geek for writing stories around fashion, beauty, and influential products, while bringing the same depth and detail in reviewing tech products and gadgets of day-to-day use.