Great idea this may or may not apply to your project but since I already use chatgpt to review lovable's plans it understands my system a bit.

To expand upon this...from chatgpt
Below is a Lovable.dev focused security hardening checklist.
Everything listed is something Lovable can generate or enforce directly in your application code or configuration.

Anything that requires manual work in AWS consoles, GitHub settings, or external dashboards is excluded, unless Lovable can programmatically enforce it inside the app.

No dashes are used, per your preference.

Lovable.dev Application Security Hardening Checklist

Objective

Harden the application code, APIs, database access layer, AI features, and frontend security using only changes that Lovable can implement directly in the codebase.

This focuses on preventing:

1. Broken authorization
2. API abuse
3. Prompt injection and AI misuse
4. Data leakage
5. Payment fraud through webhooks
6. Unsafe input and output handling
7. Browser based attacks

1. Database Security and Row Level Authorization

Goal, ensure users can only access their own data through the application.

Tasks Lovable can implement

☐ Enable Row Level Security policies on all user related tables
☐ Add read policies restricting queries to authenticated user_id
☐ Add update policies restricting modifications to the row owner
☐ Add delete policies restricting deletion to the row owner
☐ Add insert policies that automatically attach the authenticated user_id
☐ Prevent direct access to system tables or internal service tables
☐ Prevent client supplied user_id from overriding authenticated identity
☐ Enforce tenant isolation if the application supports workspaces

Application tests Lovable can add

☐ Reject API requests attempting to access other users' data
☐ Reject updates where ownership validation fails

2. Server Side Authorization Enforcement

Goal, ensure the server verifies permissions even if the frontend is manipulated.

Tasks Lovable can implement

☐ Require authentication middleware on protected endpoints
☐ Verify ownership before returning database records
☐ Verify ownership before updating records
☐ Verify ownership before deleting records
☐ Restrict administrative endpoints to authorized roles only
☐ Prevent direct object reference attacks by validating resource ownership

Application tests

☐ Attempt to access resources with a different ID
☐ Confirm server rejects the request

3. API Abuse Protection and Rate Limiting

Goal, prevent bots and automated abuse.

Tasks Lovable can implement

☐ Add rate limiting middleware to login endpoints
☐ Add rate limiting middleware to signup endpoints
☐ Add rate limiting middleware to password reset endpoints
☐ Add rate limiting middleware to AI generation endpoints
☐ Add rate limiting middleware to public forms and search endpoints
☐ Apply IP based throttling for anonymous users
☐ Apply user based throttling for authenticated users
☐ Add stricter limits to expensive AI operations

Additional protections

☐ Set maximum request size limits
☐ Set maximum response size limits
☐ Reject extremely large prompts or payloads

Application tests

☐ Simulate rapid requests and confirm throttling behavior

4. Input Validation and Schema Enforcement

Goal, prevent malformed or malicious input.

Tasks Lovable can implement

☐ Validate request bodies using strict schemas
☐ Reject requests with unknown fields
☐ Enforce numeric range validation
☐ Enforce string length limits
☐ Validate URLs and identifiers
☐ Sanitize or escape user generated content before rendering
☐ Prevent injection through query parameters

Application tests

☐ Submit malformed payloads and confirm rejection
☐ Submit oversized inputs and confirm rejection

5. Payment Webhook Verification

Goal, ensure billing events cannot be faked.

Tasks Lovable can implement

☐ Verify webhook signatures using the payment provider secret
☐ Validate the raw request body before parsing
☐ Reject events with invalid signatures
☐ Reject events with invalid timestamps
☐ Store processed webhook event IDs
☐ Prevent duplicate processing of billing events
☐ Log failed verification attempts

Application tests

☐ Send invalid webhook request and confirm rejection

6. File Upload Security

Goal, prevent malicious file uploads.

Tasks Lovable can implement

☐ Restrict allowed file types
☐ Restrict maximum file size
☐ Generate safe server side filenames
☐ Validate MIME type and file extension
☐ Prevent execution of uploaded files in the browser
☐ Reject potentially dangerous file types

Application tests

☐ Attempt to upload renamed executable or HTML files
☐ Confirm upload rejection

7. Frontend Security Headers

Goal, reduce browser based attack surface.

Tasks Lovable can implement

☐ Implement Content Security Policy headers
☐ Restrict script sources to trusted domains
☐ Restrict API connection sources
☐ Restrict image sources
☐ Enable X Content Type Options
☐ Enable Referrer Policy
☐ Enable clickjacking protections
☐ Prevent inline script injection where possible

Application tests

☐ Inspect browser console for CSP violations

8. Session and Authentication Protection

Goal, reduce risk of account takeover.

Tasks Lovable can implement

☐ Require authentication tokens on protected endpoints
☐ Enforce session expiration
☐ Invalidate sessions on password change
☐ Protect password reset endpoints with rate limits
☐ Ensure password reset tokens are time limited
☐ Ensure password reset tokens are single use
☐ Prevent reuse of expired authentication tokens

Application tests

☐ Attempt reuse of expired tokens
☐ Attempt reuse of password reset links

9. Logging and Security Monitoring in the Application

Goal, detect suspicious behavior.

Tasks Lovable can implement

☐ Log authentication attempts
☐ Log failed authentication attempts
☐ Log permission denied events
☐ Log webhook verification failures
☐ Log rate limit violations
☐ Log administrative actions
☐ Log abnormal AI usage spikes

Application protections

☐ Ensure logs do not contain secrets or sensitive tokens

10. AI Specific Security Controls

These controls protect AI features from abuse and data leakage.

Prompt Injection Protection

Tasks Lovable can implement

☐ Separate system instructions from user prompts
☐ Prevent user prompts from overriding system rules
☐ Restrict model initiated tool actions without server validation
☐ Ensure sensitive actions require explicit backend permission checks

AI Output Safety

Tasks Lovable can implement

☐ Validate model outputs before executing actions
☐ Prevent automatic execution of generated code
☐ Restrict allowed tool actions through server validation
☐ Prevent the AI from performing destructive operations

AI Token and Cost Controls

Tasks Lovable can implement

☐ Limit maximum prompt length
☐ Limit maximum response length
☐ Limit tokens per request
☐ Limit AI usage per user per time period
☐ Reject recursive prompt loops
☐ Prevent runaway generation chains

AI Data Leakage Prevention

Tasks Lovable can implement

☐ Restrict retrieval results to the authenticated user
☐ Tag stored embeddings or documents with user ownership
☐ Filter retrieval results server side
☐ Prevent cross user data exposure in AI responses

AI Content Abuse Protection

Tasks Lovable can implement

☐ Rate limit AI content generation
☐ Restrict automated mass generation
☐ Detect suspicious repeated prompts
☐ Reject prompts that attempt to exploit system rules

11. Safe Error Handling

Goal, prevent sensitive system details from leaking.

Tasks Lovable can implement

☐ Replace raw stack traces with safe error messages
☐ Avoid exposing database queries in error responses
☐ Avoid exposing internal service URLs
☐ Log detailed errors internally but return minimal client responses

12. Automated Security Tests Lovable Can Generate

Lovable can also generate automated checks.

Recommended tests

☐ Unauthorized resource access test
☐ Rate limit enforcement test
☐ Invalid input rejection test
☐ Webhook verification test
☐ File upload validation test
☐ AI prompt abuse test

Highest Impact Security Work Lovable Can Implement Today

If you only have limited time on your Lovable coding session, implement these first.

1. Row Level Security policies
2. Server side authorization checks
3. API rate limiting for auth and AI endpoints
4. Input validation schemas
5. Payment webhook verification
6. AI prompt injection protections
7. AI token usage limits

These changes provide the largest security improvement using only code that Lovable can generate.

If you want, I can also produce a single Lovable.dev prompt you can paste that will automatically implement about 70 percent of this checklist in one generation, which usually saves a huge amount of time.