Explore / Build the product / Internal tools

Internal tools · How Founders Use AI

How do I keep customer data safe in an AI-built internal tool?

The single biggest failure in AI-built tools is a database with no row-level security: one scan found 170 of 1,645 Lovable apps leaking names, emails, and financial records because the AI generated the tables but never configured access rules. Turn on RLS for every Supabase table, keep API keys server-side (never in the browser), and put the tool behind a real login even if it is 'just internal'. Then run one adversarial pass, asking the AI itself or a scanner to attack what it built, before any customer data goes in.

On the AI map, 29 October 2026 Spreadsheets, data and internal tools

Go deeper18 sources

All 18 sources