A Saudi national employed as an engineer at OpenAI has been arrested and charged with concealing a recording device inside the company's offices, the Department of Justice announced Tuesday.
Abdulrahman Alfozan, 35, had worked as an engineer at OpenAI since last July, according to the DOJ. He now faces charges of using or attempting to use a device to intercept communications — an offense that raises immediate questions about insider threats at one of the world's most closely watched artificial intelligence laboratories.
The arrest marks a significant security incident for OpenAI, which has positioned itself at the center of the global competition over advanced AI development and handles sensitive research that competitors and foreign governments have repeatedly sought to access.
Details of what Alfozan allegedly intended to record, and whether any information was successfully captured or transmitted, were not immediately disclosed in the DOJ's announcement. Federal prosecutors did not publicly name any foreign government or third party as a recipient of the allegedly intercepted material.
The case underscores a growing pattern of concern around physical and digital espionage targeting American AI firms. U.S. intelligence officials have warned in recent years that state-affiliated actors regard leading AI laboratories as high-value targets, given the strategic and commercial stakes attached to frontier model development.
OpenAI, which is headquartered in San Francisco, has not issued a public statement responding to the charges as of Wednesday morning. The DOJ's announcement did not specify which OpenAI facility was involved or the precise nature of the device that was allegedly planted.
Alfozan's employment at the company began last July, according to prosecutors, placing him inside OpenAI during a period of rapid expansion and intensifying geopolitical scrutiny over the company's research and partnerships.
The incident comes as OpenAI and its peers face increasing pressure from lawmakers and national security officials to tighten vetting procedures for employees with access to proprietary model weights, training data, and internal research — assets that officials have described as among the most strategically sensitive in the technology sector.
The charges against Alfozan are separate from any civil proceedings and reflect a criminal referral to federal prosecutors, signaling the seriousness with which investigators treated the alleged conduct. The case is expected to proceed through the federal court system, where Alfozan will have the opportunity to respond to the charges.