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FBI arrests former OpenAI engineer Abdulrahman Alfozan over hidden recording device in San Francisco executive room

Published
Score
10

Why it matters

Federal prosecutors have charged Abdulrahman Alfozan, 35, a Saudi national who worked as an OpenAI engineer from July 2025, with using or attempting to use a device to intercept oral communications. Each count carries up to five years in prison. He was arrested Friday, made his initial appearance in federal court Tuesday, and remains in custody. According to the complaint, he hid an encrypted audio recorder behind a television in an executive conference room at OpenAI's San Francisco office, plugged into a USB port on the back of the set and concealed in toilet paper. Staff found it Sept. 30. A second recorder was later found in a bag he left unattended. FBI Director Kash Patel named Alfozan publicly, and Attorney General Todd Blanche said the alleged attempt to steal sensitive communications from OpenAI is "being taken extremely seriously." OpenAI says its own models helped investigators identify the employee. The company fired him and referred the case to the FBI.

Prosecutors have not said what Alfozan intended to do with the recordings. They have not accused him or Saudi Arabia of espionage, according to AFP. The complaint says a chatbot account linked to his spouse was used to research building and concealing recording equipment. The FBI investigation is ongoing. He is due back in court Oct. 19.

The case is being framed as an insider and counterintelligence threat to AI development. Officials call AI innovation a top counterintelligence priority, and the room was used for discussions of confidential research, business plans and government partnerships. The DOJ is treating it as a counterintelligence matter, a category that generally involves foreign governments. For attorneys, watch the Oct. 19 hearing and any superseding charges, particularly whether prosecutors allege a foreign-government link. The case also shows how AI tools can surface both investigative leads and alleged misconduct, which is likely to matter for companies assessing insider-risk and device-sweep policies.

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