multi-tenancy-row-level

Prevent cross-tenant data leaks in a multi-tenant SaaS application by implementing Postgres Row-Level Security (RLS) policies that automatically enforce tenant scoping for all database queries, ensuring compliance even if application code omits tenant filters.

Postgres Row-Level Security enforces tenant isolation by using separate USING and WITH CHECK clauses for read and write operations. This ensures users from one organization can never access, modify, or delete data belonging to another tenant.

Yes, you can implement Row-Level Security policies with Prisma, Drizzle, SQLAlchemy, EF Core, and Hibernate. The skill provides specific implementation patterns for these ORM data layers to ensure automatic tenant scoping in B2C and B2B SaaS stacks.

The best way to test cross-tenant isolation in CI pipelines is to use pre-built test patterns and CI check scripts that validate cross-tenant isolation on every pull request. This detects data leaks before they reach production.

Configuring transaction-local tenant context for RLS policies is required to satisfy access control compliance requirements for tenant data isolation. It ensures mandatory RLS enablement and forcing correctly scopes all operations within the transaction.

Relying solely on application-level tenant filtering risks cross-tenant data leaks when developers forget to filter queries by tenant ID or when permissions are misconfigured. Database-level RLS prevents these compliance violations by automatically scoping queries.