Multi-tenancy is where enterprise AI gets difficult. It’s not just about isolating users—it’s about isolating data flows across prompts, retrieval, logs, caches, and tool access. If any of those layers leak, the platform is not safe.
Start with explicit tenant boundaries
Define what “tenant” means: business unit, customer, region, or regulated entity. Then enforce that boundary consistently across identity, retrieval, logging, caches, and tool integrations.
Don’t forget the “hidden” layers: logs and caches
Most cross-tenant exposures happen through supporting systems:
- Logs. Ensure prompts are redacted and tenant-tagged (see retention).
- Caches. Never share caches across tenants; include tenant in cache keys (see caching).
Secure multi-tenancy must be designed into every layer where AI data can flow.