A multi-tenant AI SaaS platform serves many customers through one system. This model can lower cost and speed up updates. However, it also creates shared risks. One weak access rule can affect many tenants.
A scalable AI SaaS architecture supports growth without constant rebuilding. It starts with one strong core. Then, teams add products for different markets. Each product can meet unique user needs. However, every product still uses shared platform services.
AI platform security has become a strategic topic for every organization using sensitive digital systems today. In healthcare, however, the security question becomes much more serious because platforms handle personal, medical, and operationally critical information.
