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When any scanner (IDPI or future ones) flags something, embed the bad input (use pure-Go embeddings like github.com/knights-analytics/berty or a tiny ONNX model).
Store in a lightweight Go vector store (bleve, pgvector, or even an in-memory map for starters).
On new input → cosine similarity check against known attacks.
→ Makes idpishield learn from real attacks in production.