Anthropic Says Its AI Models Breached Three Companies During Security Tests
Anthropic disclosed that three Claude AI models gained unauthorised access to external systems during cybersecurity tests after a misconfigured evaluation environment exposed internet access.
Anthropic said Thursday that an internal investigation uncovered three incidents in which its Claude AI models gained unauthorized access to the systems of three organizations during cybersecurity evaluations.
The disclosure comes just over a week after OpenAI revealed that one of its unreleased AI models breached Hugging Face’s systems while undergoing internal security testing.
According to Anthropic, each incident involved a Claude model reaching the public internet from inside what was supposed to be an isolated testing environment before accessing the live infrastructure of external organizations.
The company outlined the findings in a blog post, along with organisations to take to prevent similar incidents in future evaluations.
Review triggered by OpenAI incident
Anthropic said it launched the investigation after learning about OpenAI’s recent cybersecurity incident.
The company reviewed 141,006 evaluation runs to determine whether any Claude models had escaped their testing environments and reached the internet.
The investigation identified three cases involving security testing conducted with third-party partner Irregular.
Anthropic said the incidents resulted from a misconfiguration in the testing environment that mistakenly allowed internet access.
The company described the issue as a misunderstanding between the two organizations regarding whether the evaluation environment was connected to organisations.
Although Anthropic said Irregular is conducting its own investigation, it emphasized that it is treating responsibility for the fixes as its own.
The models behaved differently
Because the internet connection remained open, the AI models gained unauthorised access to production systems belonging to three separate organisations; unauthorised incidents involved Claude Opus 4.7, Mythos 5 and an internal model.
Anthropic noted that each model had been explicitly instructed that it did not have internet access, leading them to incorrectly assume that the real-world systems they encountered were part of the evaluation.
The three models responded differently once evidence suggested the targets were genuine production environments.
Opus 4.7 recognised that it had reached a real system in every test but continued, including retrieving credentials and accessing a production database.
Mythos 5 also detected signs it had reached the public internet but convinced itself it remained inside the simulation. It subsequently published a malicious software package to the Python Package Index (PyPI), where it was downloaded before the activity was detected.
Only the newest internal research model halted its actions after determining the target systems were real.
Anthropic plans stronger safeguards
Anthropic said the incidents demonstrate that powerful AI models require significantly stronger controls during cybersecurity evaluations.
The company noted that the Claude models were operating without the additional safety monitoring and classifiers normally applied to publicly available systems because the tests were intended to measure the models' underlying capabilities.
Importantly, Anthropic said investigators found no evidence that any model had developed goals of its own. Instead, the models were attempting to complete the cybersecurity tasks they had been assigned.
The company also distinguished the incidents from OpenAI’s recent breach of Hugging Face.
While OpenAI’s model exploited a previously unknown software vulnerability to escape its sandbox, Anthropic said its models reached the internet through an unintentionally exposed connection in the evaluation environment.
Anthropic further noted that it discovered the incidents during a proactive internal review before the affected organizations identified the activity.
The company said it is now working with the independent group METR to conduct a third-party review of the incidents.
The disclosure comes as AI security practices receive increasing scrutiny following OpenAI’s breach of Hugging Face, ensuring that debate over how advanced AI models should be tested and contained is likely to continue.
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