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News > Attacks & Threats > When AI Attacks: OpenAI Models Autonomously Hack Hugging Face

When AI Attacks: OpenAI Models Autonomously Hack Hugging Face

Advanced LLMs escaped their sandboxes while attempting to achieve a non-malicious benchmark test objective.

Several OpenAI models autonomously hacked AI collaboration platform Hugging Face, compromising part of its production infrastructure in what OpenAI described as "an unprecedented cyber incident."

The episode, which occurred during benchmark testing of the models, underscores a growing reality: Advanced AI models can behave in unexpected — and even harmful — ways while pursuing narrowly defined objectives, highlighting the need for stronger safeguards in enterprise AI deployments. More here

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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...

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