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Bolt
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PostgreSQL

Bolt.new + PostgreSQL Security

Bolt.new generates full-stack apps with database integrations in minutes. When PostgreSQL is the backend, the AI-generated SQL queries and connection handling often prioritize speed over security.

Why Bolt + PostgreSQL?

Developers use Bolt.new to scaffold full-stack apps that connect to external PostgreSQL databases hosted on Railway, Neon, or Supabase's underlying Postgres. Bolt generates the schema, queries, and connection code, but security configuration is frequently incomplete.

Common Vulnerabilities

These are the security issues we find most often in Bolt apps using PostgreSQL.

critical

SQL Injection in Generated Queries

Bolt generates SQL using string interpolation to get features working fast. These queries are directly vulnerable to SQL injection when user input flows into them.

critical

Hardcoded Connection Strings

Bolt often places the full DATABASE_URL with password directly in source files rather than environment variables, especially during initial project generation.

high

Missing Row Level Security

Bolt creates PostgreSQL schemas without enabling RLS. In multi-user apps, any authenticated user can query all rows in unprotected tables.

high

No Input Validation Layer

Bolt-generated API endpoints pass request body values directly to SQL queries without type checking or validation, creating injection and data integrity risks.

What We Check for Bolt + PostgreSQL

Query Parameterization Audit

Scan all generated SQL for string concatenation or template literals that bypass PostgreSQL's parameterized query protection.

Connection Credential Check

Verify DATABASE_URL and all PostgreSQL credentials are stored in environment variables, not hardcoded in source files or config.

RLS Policy Review

Confirm Row Level Security is enabled on all user-facing tables with policies for SELECT, INSERT, UPDATE, and DELETE.

Input Validation Coverage

Check that all API endpoints validate and sanitize input before passing values to database queries.

Quick Security Wins

Apply these fixes right now to improve your security.

Replace all string-interpolated SQL with parameterized queries using $1, $2 placeholders
Move DATABASE_URL to .env and add .env to .gitignore immediately
Enable RLS on every user-facing table: ALTER TABLE t ENABLE ROW LEVEL SECURITY;
Add input validation with a library like zod before any database operation
Require SSL: append ?sslmode=require to your PostgreSQL connection string

The Bottom Line

Bolt.new generates working PostgreSQL integrations fast, but the generated code consistently lacks parameterization, credential management, and access control. Audit every query and connection before deploying to production.

Secure Your Bolt + PostgreSQL App

Find Row Level Security misconfigurations, exposed credentials, and other vulnerabilities before attackers do.

Start Security Scan

Frequently Asked Questions

Does Bolt.new generate safe PostgreSQL queries?

Usually not. Bolt prioritizes making features work quickly and often uses string interpolation in SQL queries rather than parameterized queries. Always search the generated code for template literals in SQL strings and replace them with parameterized placeholders ($1, $2) to prevent SQL injection.

How do I fix the connection string if Bolt hardcoded it?

Create a .env file with DATABASE_URL=your_connection_string, add .env to .gitignore, then update the database connection code to use process.env.DATABASE_URL. If the hardcoded string was committed to Git, rotate the database password immediately since it exists in Git history.

Should I use an ORM instead of raw SQL with Bolt?

Yes, ORMs like Prisma or Drizzle handle parameterization automatically and make SQL injection nearly impossible. If Bolt generates raw pg.query() calls, consider refactoring to an ORM for safer database interactions.

Can Bolt.new set up Row Level Security?

Bolt rarely generates RLS policies on its own. You'll need to manually add ALTER TABLE ... ENABLE ROW LEVEL SECURITY and create policies that scope access to the authenticated user's data. This is critical for any multi-user application.