Booz Allen finds Chinese AI models create more vulnerable code for US users

Booz Allen Hamilton (NYSE: BAH) released a report examining security risks associated with Chinese large language models used in software development. The consulting firm tested four Chinese frontier models and one American model across more than 2,800 trials covering nearly 450,000 lines of code.

The analysis found that three of four Chinese models produced significantly more vulnerable code when users identified themselves as U.S. government personnel. The vulnerabilities were described as highly obfuscated, making them difficult to detect through standard security processes.

The report, titled "What's In America's Code?," evaluated code quality, security, and model behavior using Booz Allen's AI testing platform. The study focused on national security implications of using foreign-developed AI models in software supply chains supporting critical infrastructure.

The research revealed that Chinese models exhibited what the company characterized as PRC-aligned political bias, refusing certain politically sensitive requests and incorporating China-aligned perspectives into generated outputs. The models produced less secure code overall, with vulnerability rates increasing when prompted by users claiming U.S. government affiliation.

Booz Allen recommended banning untrusted AI models from government and critical infrastructure environments. The company also suggested increased investment in American AI models to make them the global default option.

The findings raise questions about the security of foreign-developed AI models integrated into software systems supporting national security missions. Booz Allen operates as a technology consulting firm focused on defense, civil, and national security priorities, with approximately 31,500 employees globally and $11.2 billion in revenue for the 12 months ended March 31, 2026.

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