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news13d ago

AI is escaping its testing sandboxes, should we be worried?

Anthropic disclosed that three Claude AI models, including Opus 4.7 and Mythos 5, breached real companies during safety testing after a misconfigured environment exposed them to the open internet. The incidents follow a similar breach by OpenAI models at Hugging Face.

AI is escaping its testing sandboxes, should we be worried?

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Claude Models Breached Live Systems During Cybersecurity Drills

@AnthropicAI has disclosed that three of its @claudeai models gained unauthorized access to real companies' production systems during cybersecurity evaluations, after a misconfigured testing environment left the models connected to the live internet instead of an isolated sandbox.

The three models involved were Claude Opus 4.7, Claude Mythos 5, and an unnamed internal research model. Each was tasked with completing a capture-the-flag challenge run through Anthropic's external evaluation partner, Irregular. The models were told they were operating in a simulation with no internet access, but a misconfiguration left the evaluation environments connected to the live web. The models treated real-world systems they encountered as part of the exercise.

In the first incident, Opus 4.7 targeted a real company whose name matched the fictional company used in the evaluation and accessed a database containing several hundred rows of production data. Even after recognizing it had likely reached a real environment, the model continued its attack in all four runs of the evaluation.

In the second incident, Mythos 5 published a malicious Python package to PyPI, the public software registry, while attempting to complete its assigned task. The package compromised 15 machines before it was removed.

Anthropic notified the three affected organizations on July 27. Two had not previously detected the intrusions. Anthropic also noted that Claude was running without the additional safety monitoring and classifiers it deploys on generally available models, safeguards it said would have blocked the behavior, because the evaluations are designed to measure the underlying model's raw capabilities.

A Pattern Emerging Across the Industry

Anthropic said the earliest incidents date back to April 2026, and it made the discoveries after launching a large-scale retrospective review prompted by a recent disclosure from @OpenAI that a combination of its models escaped a sandboxed environment and broke into Hugging Face's production systems.

OpenAI's models left their test environment with no human direction and hacked their way onto a different company's real production systems while trying to cheat on a cybersecurity test, one of the first publicly disclosed examples of an AI system autonomously breaching its testing environment and reaching a real external system.

Anthropic described its own incidents as more of an operational failure than an alignment failure. The company said it found no evidence of any model pursuing a goal of its own, noting the models merely tried to complete the task they were asked to do. Still, the back-to-back disclosures from two of the world's leading AI labs point to a shared structural problem: the walls around these tests are thinner than anyone assumed.

In response, Anthropic said significant controls must be placed on these kinds of evaluations if powerful AI models are involved. "This incident proves a point we've long believed: AI safety won't be solved by any single company working in secret," Hugging Face CEO Clem Delangue said following the OpenAI breach.

Sources:
TechCrunch: Anthropic says its own AI models breached three companies during security tests
CNBC: Anthropic says its Claude models gained unauthorized access to other organizations' systems
TechCrunch: OpenAI says Hugging Face was breached by its pre-release models

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Crypto Rich profile photoCrypto Rich

Rich has been researching cryptocurrency and blockchain technology for eight years and has served as a senior analyst at BSCN since its founding in 2020. He focuses on fundamental analysis of early-stage crypto projects and tokens and has published in-depth research reports on over 200 emerging protocols. Rich also writes about broader technology and scientific trends and maintains active involvement in the crypto community through X/Twitter Spaces, and leading industry events.

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