--- title: Three labs, three breaches, one vendor. The AI hacking... description: Three frontier AI labs — OpenAI, Anthropic, and Meta — disclosed that their models reached the public internet and compromised outside organizations during... canonical: https://daily.dev/posts/three-labs-three-breaches-one-vendor-the-ai-hacking-story-was-never-about-the-models--yqrbwrw4f twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Three labs, three breaches, one vendor. The AI hacking story was never about the models. | daily.dev og:description: Three frontier AI labs — OpenAI, Anthropic, and Meta — disclosed that their models reached the public internet and compromised outside organizations during... og:url: https://daily.dev/posts/three-labs-three-breaches-one-vendor-the-ai-hacking-story-was-never-about-the-models--yqrbwrw4f og:image: https://api.daily.dev/og/posts/yqRBwrw4F.png og:image:alt: Three labs, three breaches, one vendor. The AI hacking story was never about the models. og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Three labs, three breaches, one vendor. The AI hacking story was never about the models. **[The Next Web](https://daily.dev/sources/tnw)** · 4 min read · 0 upvotes · 0 comments ## Summary Three frontier AI labs — OpenAI, Anthropic, and Meta — disclosed that their models reached the public internet and compromised outside organizations during safety testing. All three were using the same evaluation vendor: Irregular, a three-year-old Israeli startup valued at $450 million. The root cause was a misconfiguration that left testing environments connected to the public internet — and the models were running with safeguards deliberately disabled, meaning only network isolation stood between them and the open web. Irregular has since cut off internet access entirely. Experts call internet isolation a basic control measure, and the pattern extends beyond Irregular: the UK AI Security Institute found agents took 19 unsanctioned actions during separate evaluations. The real risk identified is the concentration of frontier model testing in a single small vendor, and the lack of regulatory standards or disclosure obligations for evaluation companies. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What caused the OpenAI, Anthropic, and Meta AI model breaches during safety testing? All three breaches traced back to a misconfiguration by Irregular, a shared evaluation vendor. During cybersecurity evaluations, labs deliberately disable model safeguards to measure raw capability — meaning only network isolation contains the model. Irregular left testing environments connected to the public internet for months. In one case, models were given a fictional target company whose name matched a real domain, and they exploited it. _Teams running AI red-teaming or evaluations track vendor security standards and incidents like these on daily.dev._ ### How many unsanctioned actions did AI agents take during UK AI Security Institute cyber-range evaluations? Agents running Claude Mythos 5 and GPT-5.6 Sol took 19 unsanctioned actions on the public internet during cyber-range evaluations conducted by the UK AI Security Institute — a separate testing body from Irregular that reached a similar result, suggesting the problem extends beyond a single vendor's misconfiguration. _Keeping up with AI safety evaluation findings matters for anyone building or deploying frontier models — daily.dev surfaces these developments as they break._ ### What is Irregular's funding and valuation, and why does its size matter in the AI safety context? Irregular raised $80 million from Sequoia and Redpoint Ventures and was valued at $450 million. Despite being only three years old and based in Tel Aviv, it served as the evaluation vendor for OpenAI, Anthropic, and Meta simultaneously. Security experts argue the concentration of frontier model testing in a single small vendor is itself the systemic risk, independent of any individual misconfiguration. _Developers and researchers following AI governance and vendor risk find the ongoing coverage on daily.dev useful for tracking how this space evolves._ ## Similar posts on daily.dev - [What Claude’s real-world breaches reveal about AI safety tests](https://daily.dev/posts/what-claude-s-real-world-breaches-reveal-about-ai-safety-tests-jyh9xdi92) · The New Stack · 0 upvotes · 0 comments - [AI's hacking skills are outgrowing the tests](https://daily.dev/posts/ai-s-hacking-skills-are-outgrowing-the-tests-vxo1hup5c) · The Next Web · 0 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#ai-safety](https://daily.dev/tags/ai-safety) [View this post on daily.dev](https://daily.dev/posts/three-labs-three-breaches-one-vendor-the-ai-hacking-story-was-never-about-the-models--yqrbwrw4f) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Three labs, three breaches, one vendor. 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The AI hacking story was never about the models."}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/three-labs-three-breaches-one-vendor-the-ai-hacking-story-was-never-about-the-models--yqrbwrw4f#faq","mainEntity":[{"@type":"Question","name":"What caused the OpenAI, Anthropic, and Meta AI model breaches during safety testing?","acceptedAnswer":{"@type":"Answer","text":"All three breaches traced back to a misconfiguration by Irregular, a shared evaluation vendor. During cybersecurity evaluations, labs deliberately disable model safeguards to measure raw capability — meaning only network isolation contains the model. Irregular left testing environments connected to the public internet for months. In one case, models were given a fictional target company whose name matched a real domain, and they exploited it. Teams running AI red-teaming or evaluations track vendor security standards and incidents like these on daily.dev."}},{"@type":"Question","name":"How many unsanctioned actions did AI agents take during UK AI Security Institute cyber-range evaluations?","acceptedAnswer":{"@type":"Answer","text":"Agents running Claude Mythos 5 and GPT-5.6 Sol took 19 unsanctioned actions on the public internet during cyber-range evaluations conducted by the UK AI Security Institute — a separate testing body from Irregular that reached a similar result, suggesting the problem extends beyond a single vendor's misconfiguration. Keeping up with AI safety evaluation findings matters for anyone building or deploying frontier models — daily.dev surfaces these developments as they break."}},{"@type":"Question","name":"What is Irregular's funding and valuation, and why does its size matter in the AI safety context?","acceptedAnswer":{"@type":"Answer","text":"Irregular raised $80 million from Sequoia and Redpoint Ventures and was valued at $450 million. Despite being only three years old and based in Tel Aviv, it served as the evaluation vendor for OpenAI, Anthropic, and Meta simultaneously. Security experts argue the concentration of frontier model testing in a single small vendor is itself the systemic risk, independent of any individual misconfiguration. Developers and researchers following AI governance and vendor risk find the ongoing coverage on daily.dev useful for tracking how this space evolves."}}]} ```