Platform / Vector DB security
Vector Database Security
Tenant isolation, embedding-model linkage, and corpus integrity tests across managed and self-hosted vector stores.
Last reviewed June 2026
Problem
The gap Vector DB security closes
Vector stores often hold the most sensitive embeddings in the organisation. A misconfigured namespace, a leaky metadata filter, or an unchecked similarity threshold turns a shared index into a cross-tenant data leak.
How Penaxtra approaches it
How Penaxtra delivers Vector DB security
Penaxtra catalogues every vector store as a tracked asset, regardless of vendor. Each store is bound to the embedding model that fills it and the RAG systems that read from it. Tests verify namespace isolation, metadata filter integrity, and similarity-threshold-based leakage.
Technical capabilities
Vector DB security capabilities
Manual registration for self-hosted engines and Postgres-backed stores
Embedding-model linkage tracking
Cross-tenant namespace isolation tests
Metadata filter integrity verification
Per-pipeline read scope auditing
Compliance mapping
Vector DB security compliance mapping
NIST AI 600-1 GOVERN-1, MANAGE-2.4, EU AI Act Article 10 (data and data governance), ISO/IEC 42001 Annex A (data quality).
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