The deployment pattern where AI infrastructure is shared across multiple customers with strict data isolation — distinct from dedicated single-tenant deployments.
Multi-tenant AI is the deployment pattern where AI infrastructure is shared across multiple customers (tenants), with logical and cryptographic isolation between tenants' data. Properties typically include: per-tenant encryption keys, logical database separation, per-tenant access scoping, and per-tenant audit log isolation. Distinct from single-tenant deployments (dedicated VPC, on-premise) where infrastructure is dedicated to one customer.
Multi-tenant deployment is the standard for cloud-hosted SaaS — including most cloud-hosted AI products. Properly implemented multi-tenant deployments provide strict data isolation while sharing the underlying infrastructure for cost and operational efficiency. Single-tenant deployments are typically chosen by regulated-industry customers whose security review requires dedicated infrastructure.
The choice between multi-tenant and single-tenant deployment is one of the most consequential procurement decisions in enterprise AI. Multi-tenant is faster to deploy and more cost-efficient; single-tenant satisfies more demanding security reviews.
Cloud-hosted AI SaaS with per-tenant encryption keys and logical database isolation
Single-tenant AI in a dedicated VPC for regulated-industry customers
On-premise AI for the most controlled environments
Hybrid deployments where sensitive workloads run single-tenant and routine workloads run multi-tenant
Beth's cloud-hosted deployment is multi-tenant with strict per-tenant data isolation. Customers requiring single-tenant deployment select dedicated-instance/VPC, on-premise, self-hosted, or air-gapped postures. Hybrid customers run sensitive workloads single-tenant and routine workloads multi-tenant under unified governance.
Properly implemented multi-tenant deployments with per-tenant encryption keys, logical database separation, and per-tenant access scoping are safe for most enterprise data. Customers with the most demanding security reviews (regulated industries handling pre-release financials, PHI, classified-adjacent data) typically choose single-tenant deployment instead.
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