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OpenAI employee arrested and charged over hidden recording

14 October 2026 at 00:30

Federal authorities arrested a Saudi national employed at OpenAI and charged him with planting a recording device in a company’s executive conference room, the Department of Justice announced Tuesday.

On or around Sept. 30, OpenAI discovered a sophisticated recording device inserted into the back of a television in an executive conference room located in one of its San Francisco offices. The company determined that the device was installed approximately a couple days prior, concealed in toilet paper. The contents of the device were encrypted, according to the DOJ.

The Department of Justice said in a news release that the employee, Abdulrahman Alfozan, 35, was arrested Friday and appeared in federal court Tuesday. OpenAI confirmed the incident on social media and said that it was supporting the FBI’s investigation.

“We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier,” OpenAI said in its statement. “At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data.”

Alfozan used a “productivity tool” to inquire about the company’s meeting rooms, calendars, and “leadership and exec” locations, according to OpenAI’s complaint to the DOJ. A chatbot account associated with his spouse also indicated that the user submitted prompts in September relating to installing and remote accessing a recording device.

The DOJ said that CCTV footage showed Alfozan, who had been employed as an engineer by OpenAI since July 2025, near and inside the conference room on multiple occasions before the device was discovered. Meetings in the conference room “frequently involved discussions of highly confidential technical, commercial, and strategic information, including proprietary research, product plans, and business-development opportunities,” according to the complaint.

The company also discovered another recording device in one of Alfozan’s bags left in the office.

“We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest,” OpenAI said. “Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.”

The Saudi national, who has since been fired by OpenAI, faces a maximum penalty of five years in prison, a $250,000 fine and three years of supervised release if convicted, according to the DOJ.

“For us it is a matter of national security,” U.S. Attorney Craig H. Missakian for the Northern District of California said in a statement. “This arrest highlights our relentless efforts in partnership with the FBI to identify and prosecute those who seek to steal our technology, as alleged in the complaint.”

EU cyber and science researchers are testing Chinese AI models 

8 October 2026 at 22:54

BRUSSELS — The European Union’s cybersecurity agency and in-house research center have each begun experimenting with open artificial intelligence models from China, three EU officials have told POLITICO.

The Joint Research Centre (JRC) — the EU’s in-house scientific research center — is evaluating “publicly available open-weight models” originating from China, European Commission spokesperson Maciej Berestecki confirmed. The head of ENISA, the bloc’s agency responsible for cybersecurity, also said in an interview that his team was now testing Chinese AI.

The experiments with Chinese models at the JRC are part of a broader research project to evaluate artificial intelligence that also includes leading models from the United States and Europe, Berestecki said. “Models from different origins are included in a comparative scientific evaluation of their capabilities, performance, limitations and risks,” he said, adding that the JRC is also looking into their potential scientific applications.

AI safety and security — topics currently under intense scrutiny following a series of incidents in which advanced AI models hacked real-world networks during testing activities — are not the core focus of the JRC’s testing activities, according to a different Commission official, who was granted anonymity to discuss sensitive material.

Open-weight models are those whose core components are publicly released, allowing anyone to run the model and study how it works. China’s approach to AI has leaned more towards open models than the United States. Some major U.S. tech and AI companies, including chips giant NVIDIA, are investing in open-weight models.

Forced to choose

The U.S. and China are locked in a race to dominate in the technology, with Europe largely sitting on the sidelines. Without a viable European frontier model, European private and public organizations may be left to choose between American and Chinese providers for advanced AI applications.

In a recent speech, European Commission President Ursula von der Leyen suggested Europe should not try to win the frontier AI race. A top German tech company told POLITICO this week it was dropping Europe’s leading AI lab Mistral in favor of open-source Chinese models.

The JRC has not entered into any “bespoke access” or licensing negotiations with the relevant Chinese developers, Berestecki said. The models are run on the center’s “secure, on-premises scientific infrastructure” and the Commission is not intending to use Chinese models for its own purposes, he added.

EU cyber agency ENISA — which has gained access to advanced models from top U.S. AI firms Anthropic, OpenAI and Google — is also experimenting with “a couple” of open-weight Chinese models, its executive director Juhan Lepassaar confirmed in an interview on Wednesday. 

JRC and ENISA have been tasked with working together to set up an AI testing platform under a recent EU action plan on AI and cyber, the European Commission’s attempt to respond to the growing concerns after a series of incidents involving AI systems breaking out of testing environments and breaking into other organizations’ digital systems.

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