The model can be secure while the knowledge pipeline is vulnerable.
RAGAI SECURITY ENGINEERING
Threat-model the RAG pipeline
RAG introduces ingestion, embeddings, retrieval, metadata, vector storage and source authorization into the AI security boundary.
A retriever returns confidential chunks because source ACLs were not preserved after indexing.
Which security control should be explicit?
REMEMBERRAG is a data system, not just a prompt technique.
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