AI opportunities

Instruction/data channel-separation and anomaly detection for retrieved content

Keeping retrieved data structurally separate from instructions in the assembled context, and flagging anomalous embedded instructions before they reach the LLM.

Technique

Structural channel separation at the pipeline level, plus a lightweight classifier or heuristic pass over retrieved free-text fields for instruction-like patterns.

Open source tool

Prompt-injection detection libraries as a supplementary layer; the channel-separation architecture itself is not off-the-shelf

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