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The constraint in AI-on-AI threat detection is direct: a defensive model can only flag attack patterns it was trained to recognize.
When Hugging Face deployed a Chinese-origin model to counter what OpenAI called an "unprecedented" rogue-AI attack, that tool's origin became as notable as the threat itself.
The detection ceiling Every AI-based security layer reflects its training data.
A model built to catch one class of threats may be blind to another, which means that when a genuinely novel attack arrives, the lineage of the defensive tool matters.
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