RAG Security
13 automated security tests over your RAG systems covering corpus tainting, indirect prompt injection, embedding-space leakage, retrieval-isolation breaks, and per-user data scoping.
Last reviewed July 2026
The gap RAG security closes
RAG pipelines pull customer documents, internal wikis, and ticket histories into the prompt context. Each retrieval is an indirect-injection opportunity. Each shared embedding store is a cross-tenant data-leak risk if isolation is wrong.
How Penaxtra delivers RAG security
Penaxtra registers RAG systems as a typed asset (embedding model + vector database + data sources). Thirteen automated tests probe each pipeline for corpus tainting, retrieval boundary leaks, embedding-space adversarial inputs, and tenant isolation defects. Test users + canary documents seed the corpus for verifiable detection.
RAG security capabilities
Canary document seeding and detection
Synthetic test-user accounts for tenant isolation verification
Embedding-space adversarial input probes
Retrieval boundary leak tests across configured tenant scopes
Findings deduplicated across pipelines and scan runs
RAG security compliance mapping
OWASP LLM01 (indirect injection), LLM06 (sensitive disclosure), LLM07 (insecure plugin), NIST AI 600-1 MEASURE-2.7, EU AI Act Article 10 (data governance).