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[>_] ROOM · Cybersecurity
Cross-Tenant Data Leakage in Shared Vector Stores
Understand how multi-tenant RAG architectures leak data across user boundaries and how to test for metadata isolation failures.
Room tasks
1What is Cross-Tenant Leakage and Why It Happens
2Testing for Namespace/Metadata Isolation Failures
3Real-World Cross-Tenant RAG Leak Case Studies
Frequently Asked Questions
What is cross-tenant data leakage in RAG?
It happens when one customer's query retrieves another customer's documents from a shared vector store. Weak metadata filtering or missing namespace separation lets embeddings from different tenants mix.
How do you test for tenant isolation in a vector database?
Query as one tenant using inputs designed to match another tenant's content, and try to alter or omit filters. If foreign records return, isolation is broken and must be enforced server side.
Is metadata filtering enough to isolate tenants?
Not always. Filters applied by client code can be bypassed or forgotten, so stronger designs use separate namespaces or indexes and enforce access in the retrieval layer. This room covers testing both, free.