Analysis
What Is Secure RAG? AI Knowledge Base Security
Publication date unknown · Discovered hardshell.ai
Page published
Publication date unknown · First observed: 21 Oct 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
RAG and agentic retrieval systems need identity-aware access checks and untrusted-content handling because infrastructure security and output guardrails alone do not prevent unauthorized document disclosure or indirect prompt injection.
Hardshell’s secure RAG explainer describes query-time, per-user authorization and content controls before embedding as core safeguards for AI knowledge bases. The article explains how semantic retrieval can expose overshared or improperly authorized documents and why retrieved content must not become model instructions.