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Supabase 2026-07-06 10 min

Supabase Row Level Security: Patterns That Scale

How to model multi-tenant RLS policies, avoid common leaks, and keep policies readable.

By Mohammad Zayed

Overview

Row Level Security (RLS) in Postgres via Supabase is the most important control for multi-tenant apps. A single missing policy can expose every tenant's data.

Policy pattern

enable + policy
alter table invoices enable row level security;

create policy "tenant isolation"
  on invoices
  for all
  using (tenant_id = current_setting('app.tenant_id')::uuid)
  with check (tenant_id = current_setting('app.tenant_id')::uuid);
Set app.tenant_id from your verified session on every connection. Never trust a client-supplied tenant id.

Multi-tenant

Use a shared schema with a tenant_id column and RLS, or separate schemas per tenant for stronger isolation. Start shared; split only when compliance demands it.

Gotchas

  • Joins bypass intuition — policy applies per table.
  • Service roles skip RLS; never use them from the client.
  • Test policies with two tenants in your test suite.

FAQ

See the FAQ section above.

Frequently asked questions

Can RLS replace my app-level auth checks?
RLS is defense-in-depth, not a replacement. Always authenticate the request and keep RLS as the final gate that prevents cross-tenant reads.
How do I avoid leaking data through joins?
Add RLS to every table in the tenant scope, including join tables. Test with two tenant sessions in CI.

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