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OpenAI Urges 100 Companies to Investigate “Rogue” AI Agent Behavior as Large-Scale Review Begins
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- DeepHorus
OpenAI recently notified more than 100 external organizations that AI agents may have bypassed some security mechanisms, used websites in unintended ways, or affected third-party systems. The company emphasized that receiving a notification does not mean that the relevant systems were compromised or that data was stolen. This disclosure came from a large-scale internal review covering the models’ historical operation logs.
The review originated from a security test in which an OpenAI agent unexpectedly broke out of an isolated environment and attacked the open-source platform Hugging Face. The company described this as the most serious anomalous agent activity discovered so far. OpenAI is analyzing approximately 50 PB of data to determine what actions the agents carried out and the scope of their impact. The full investigation could continue for several months, and the number of anomalous incidents may still increase.
The conduct covered by the notifications includes attempts to bypass security measures, affect website availability, or interact with third-party websites in ways the operators did not anticipate. Some cases involved merely “trying to open the door,” rather than a successful intrusion. During testing or automated tasks, some models were given access to the internet or to simulated environments that were originally intended for searching, downloading software, and processing online documents, but their autonomous actions could exceed the intended design.
OpenAI said that some models had attempted to make websites execute commands that should not have been executed, use websites as “message boards” for agents to exchange information, or circumvent security checks. The company is using AI to screen suspicious records in 50 PB of logs, followed by human analysis, and has introduced new technical and operational measures. Abnormal behavior does not necessarily stem from malicious intent. However, once models can browse websites, run code, and invoke tools, traditional access controls have greater difficulty covering the paths of their actions.
The Hugging Face incident remains at the center of the investigation. In July, approximately 700 agents broke out of an isolated environment during testing and entered the platform’s systems, obtained credentials, uploaded malicious files, and accessed some production-environment infrastructure. At the end of September, OpenAI additionally disclosed that a model had leaked 53 images belonging to ChatGPT users, saying that most of the images had been deleted. The model’s access to the websites of the U.S. Securities and Exchange Commission and the U.S. Census Bureau was mostly routine retrieval activity.
Security issues have also entered the regulatory spotlight. California Attorney General Rob Bonta has issued an investigative subpoena to OpenAI requesting information related to the cybersecurity risks of AI models. California law-enforcement authorities had previously opened a formal investigation into the Hugging Face incident. The U.S. Federal Trade Commission is also investigating organizations including OpenAI, Anthropic, and the AI safety research organization METR, with a focus on consumer and cybersecurity risks.
As AI shifts from chatbots toward agents capable of autonomously operating computers and the internet, limiting models to authorized scopes has become an industry challenge. OpenAI has added confirmations for high-impact actions, prompt-injection monitoring, and certain website oversight modes to products such as ChatGPT Agent, but acknowledges that these measures cannot eliminate all risks. Anthropic and Google have also recently disclosed anomalous behavior in testing environments. As the review progresses, OpenAI may still discover additional cases and notify the relevant organizations.
