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AI NEWS REPORT

EXPLAINER · WEDNESDAY, SEPTEMBER 9, 2026

What the NSA says six Chinese AI companies did to copy American models, and how to spot it on your own platform

The advisory is 'industrial-scale distillation.' Here is what that means, why the agencies say it is different from the distillation every lab does, and the four abuse signals it hands to anyone running a paid AI service.

This explains reporting by NSA, CISA and FBI joint advisory AA26-251A.
Read the original first: https://www.cisa.gov/news-events/cybersecurity-advisories/aa26-251a

In one minute

What distillation is, and why it is usually fine

Distillation is a training technique. You take a large, strong model (the teacher), ask it a huge number of questions, and train a smaller model (the student) on the answers. The student ends up with much of the teacher's skill at a fraction of the size and cost. Every major lab does this to its own models. The advisory says so directly: distillation is 'recognized as a legitimate and useful technique in AI research.'

The problem the agencies describe is distillation against someone else's model, at a scale and with methods that break the provider's terms. Their phrase is 'aggressive, malicious, and targeted distillation activities at an industrial scale.'

Who is named, and for what

DeepSeek: 'conducting an organized distillation campaign against U.S. AI companies' frontier AI models since at least late 2024.'

Moonshot AI: 'a widespread distillation campaign against U.S. frontier AI companies since at least mid-2025.'

Alibaba: 'leveraged industrial-scale distillation to improve the company's Qwen family of AI models.'

MiniMax, StepFun and Z.AI: 'also engaged in malicious knowledge distillation of U.S. AI companies' models.' The advisory gives these three less detail than the first three.

The mechanism the advisory describes

Getting in: a 'gray market of proxies known as transfer stations' that route traffic around the US companies' geographic restrictions, plus 'bulk procurement of the U.S. AI companies' premium subscriptions shared across teams.' In plain words, buy many consumer or team accounts through middlemen, then run them as a fleet.

Getting the good stuff out: prompts 'forcing models to reveal their hidden CoT reasoning' despite restrictions. CoT means chain of thought, the step-by-step reasoning a model does before its final answer. Providers hide it on purpose. Reasoning traces are far more useful training data than final answers alone, because they teach the student how to think, not just what to say.

Scale: 'billions of tokens across millions of exchanges/requests from U.S. frontier AI models,' from at least late 2024 through mid-2026.

The $5.6 million claim

DeepSeek's low quoted training cost became a talking point in early 2025 and moved markets. The advisory takes it on directly: the figure 'is misleading as it does not include the true cost of the data acquired through extensive malicious distillation.' The argument is that the expensive part, the teacher's knowledge, was paid for by someone else.

The four signals, as a checklist

The advisory asks AI providers to detect and respond, and it names what to look for. If you run any paid AI product, these apply to you as much as to a frontier lab.

1. Shared accounts used from multiple IP addresses or user agents at once. 2. Sustained 24/7 usage with none of the idle periods a human shows. 3. Anomalous ratios of subscription use to API use. 4. New subscriptions that hit maximum usage immediately.

Its recommended responses are detection and mitigation of anomalous prompts and accounts, 'subtly alter responses for suspected malicious distillation attempts,' and cross-organization intelligence sharing so providers can correlate the same actors across platforms.

Who is affected

CaseStatus
Businesses running DeepSeek, Qwen, Kimi (Moonshot), MiniMax, StepFun or Z.AI modelsNo action ordered. The advisory is a warning, not a ban. It does raise the question of what happens to your data on those services, which the advisory does not address.
US frontier model providersAsked to deploy detection, alter responses to suspected distillation, and share intelligence across companies.
Anyone running a paid AI service with user accountsThe four detection indicators are directly usable in account monitoring today.
The six named companiesNamed publicly by three US agencies. No legal action is described in the advisory.

What to do

What is still unknown

Sources

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