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Supabase Security & RLS in AI-Built Apps

20 posts in this trend in the last 7 days • Active 3 days ago

Cenk KURTOĞLU

Oct 24

Multi-tenant RLS in Supabase: the 7 isolation bugs I find in every AI-built SaaS

#supabase #security #postgres #webdev

3 min read

BuildWithThis for BuildWithThis

Oct 24

Supabase's Oct 30 grants change: what it closes, what it leaves open, and the two kinds of 42501

#supabase #postgres #security #webdev

10 min read

Trend Analysis

Developers are addressing common data leakage vulnerabilities and false-confidence traps in Supabase applications built with AI coding assistants. The discussion emphasizes verifying Row Level Security (RLS) policies, properly managing public anon keys versus service roles, and adapting to platform default changes.

Core Questions Under Debate:

Why does enabling Row Level Security still allow data leaks if policies are incomplete?
How can developers securely manage anon keys and API exposure in AI-generated frontends?
What essential checklist steps should be run on a Supabase backend before launching a production app?

First detected: October 22, 2026

Last updated: 3 days ago

Algorithm: Vector Leader Clustering (threshold: 82%)

About this trend

This trend groups posts from the last 7 days that discuss similar concepts, technologies, or ideas.