Enter your table and policy counts
Total sensitive tables, tables with RLS enabled, review status, and whether you have automated access-policy tests.
ROW-LEVEL SECURITY
Row-Level Security Coverage Checklist for AI-Built Apps
Enter your table and policy counts to get a calculated row-level security coverage and risk score for your AI-built app.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate a coverage/risk score
Coverage rate is adjusted up for human-reviewed policies and automated tests, and down for AI-generated-and-trusted policies with no review.
Get a prioritised remediation list
Next steps identify exactly which gaps to close first, from enabling RLS on unprotected tables to getting policies human-reviewed.
Continue learning: Database scaling risks in AI-generated apps · Can automated scanners secure AI-generated code?
Frequently asked questions
Does this connect to my actual database?
No. This estimates coverage from the numbers and review status you provide — it does not connect to or test your actual database or policies. Accuracy depends on how accurately you count your tables and policies.
Why does 'AI-generated and trusted' lower the score?
AI-generated RLS policies can look syntactically correct while still leaving logical gaps — for example missing a WHERE clause edge case. Without human review, that risk isn't accounted for, so the score reflects lower confidence.
What counts as a table with 'user-specific data'?
Any table where rows should only be visible to the user (or organisation) that owns them — user profiles, orders, messages, and similar tables, as opposed to shared reference/lookup tables.
Is 100% RLS coverage always the right goal?
For any table holding user-specific or sensitive data, yes. Shared reference tables with no per-user access boundary don't need RLS, so don't count those toward your total.
How is this different from a real security audit?
A real audit inspects your actual database schema and policies directly. This tool is a fast self-assessment checklist based on numbers you already know — use it to prioritise, then verify with a real review.
How We Compare
| Feature | MVPHub | Cursor | Replit |
|---|---|---|---|
| RLS coverage/risk score from your own counts | Included | Not included | Not included |
| Review-status and test-presence weighting | Included | Not included | Not included |
| AI-assisted schema/policy generation | Not included | Included | Included |
| Live database schema inspection | Not included | Limited | Limited |
Cursor and Replit can help generate database schemas and policies but don't score your actual row-level security coverage. MVPHub's checklist gives a fast, independent read using numbers you already know.
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