RAGAI SECURITY ENGINEERING

Threat-model the RAG pipeline

RAG introduces ingestion, embeddings, retrieval, metadata, vector storage and source authorization into the AI security boundary.

WHY IT MATTERS

The model can be secure while the knowledge pipeline is vulnerable.

ENTERPRISE EXAMPLE

A retriever returns confidential chunks because source ACLs were not preserved after indexing.

SECURITY DECISION

Which security control should be explicit?

REMEMBERRAG is a data system, not just a prompt technique.
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