Multi-tenant AI systems have a security problem that most teams do not think about until it is too late. Here is exactly how it happens.
The Scenario Nobody Plans For
A SaaS company builds an AI assistant. It is shared across all their customers on a single vector database. Company A's documents live in one namespace. Company B's documents live in another. The access control is set up correctly. Everything looks fine.
Then an engineer pushes a configuration change. A filter condition is dropped from a query. For six hours, Company A's AI assistant is surfacing Company B's confidential documents in its responses. Nobody notices until a user asks a question and gets back information about a competitor's internal strategy.
This is not a theoretical scenario. It is the specific failure mode that multi-tenant vector database deployments face, and it is more common than post-mortems acknowledge.
