Bolt.new vs Lovable vs Cursor: Comparing Security Review Needs

Quick answer: Lovable, Cursor, and Bolt.new require security review of the applications built with them. Check generated authentication flows, database access policies, secrets handling, and deployment configuration. Aggregate scan results do not establish a security ranking between these platforms.

By Paula C · Kraftwire Software

How Should You Review Security Across AI Coding Tools?

Review authentication flows, database access policies, secrets handling, and deployment configuration in apps built with Lovable, Cursor, or Bolt.new. The aggregate scan corpus does not establish which platform produces more secure code.

These live figures describe all scanned sites. They do not establish prevalence for an AI-built subgroup, compare development methods, or attribute findings to AI generation.

30% of the 119 live sites SimplyScan has scanned (36 sites) have at least one high or critical security issue.

A working app still needs security review, regardless of the tool used to build it. Review generated code and deployment configuration independently of whether the visible features work.

How Does Each Tool Work?

The tools offer different development workflows. Review where code runs, how credentials are stored, and which deployment settings remain under your control.

Lovable

Lovable generates web applications from natural-language instructions, including frontend, backend, and authentication code. Review the services and configuration actually used by your project.

Security review: Inspect the generated frontend, backend, and deployment settings. For a Supabase-backed project, review RLS policies and table privileges, then test the intended access rules.

11% of the 119 live sites SimplyScan has scanned (13 sites) have at least one medium-severity architecture issue, such as a library with a known vulnerability or no rate limiting.

For data returned to the frontend, check whether the requesting user is allowed to receive each record and field. Review query permissions separately from query efficiency.

Bolt.new

Bolt.new provides a browser-based development environment using WebContainers, with preview and publishing workflows. Review the production configuration separately from the browser development environment.

Security review: Check security headers, secret storage, and the server-side actions in the deployed app. A browser-based editor does not by itself determine whether a secret reaches the application’s visitors.

Cursor

Cursor is an AI code editor based on VS Code. It can use project context to suggest edits and create files. Review the code changes and the runtime environment in which you deploy them.

Security review: Specify intended controls, including CSRF protection where relevant and server-side validation. Inspect and test the implementation after generation; an accepted suggestion does not establish that a control works.

Secret Management: Where the Leaks Happen

Hardcoded secrets can be a critical failure in AI-generated code.

13% of the 119 live sites SimplyScan has scanned (15 sites) have at least one high-severity web-security issue, such as a missing Content-Security-Policy or HSTS header.

Accepting legacy TLS versions is one example of a high-severity transport issue.

Lovable and the Client-Side Leak

In a Vite-based Lovable project, keep secret credentials out of variables with the VITE_ prefix: values exposed through that mechanism can enter client code. A .env file does not make a VITE_ variable private. Inspect the deployed bundle for leaked API credentials, including privileged Supabase service-role keys.

Bolt.new and Third-Party Integrations

For a Bolt integration that needs a secret provider credential, keep the credential in a server-side function or API route. Authenticate and authorize the caller there as appropriate. Inspect the deployed bundle for secret values; a working integration does not establish that those values are private.

Cursor and Git History

Before committing changes made with Cursor, inspect files such as config.ts for hardcoded secrets. Keep private configuration in a server-side secret store or an appropriately protected .env file. Use .gitignore for untracked local secret files, and remember that it does not remove secrets already committed to repository history.

In each workflow, review environment variable handling, generated browser assets, and repository history. The editor’s role does not establish which application is less likely to leak a credential.

Database Security: Test the Intended Access

Test database authorization in the deployed application. For roles subject to RLS, disabled RLS leaves access to table privileges; enabled RLS without applicable policies denies access. Permissive policies can expose rows, while BYPASSRLS roles ignore RLS.

Lovable: Inspect Generated Policies

For a Supabase-backed Lovable app, inspect the generated Row-Level Security policies. A permissive SELECT policy using USING (true) allows rows through that policy; table privileges, applicable restrictive policies, and bypass roles also affect the result. Test allowed and denied access with the application’s actual roles.

Bolt.new: Check the Backend You Use

If the app uses Supabase, test PostgreSQL privileges and RLS. If it uses Firebase, inspect the applicable Firebase Security Rules. Do not treat a development or test configuration as evidence that production access is appropriately restricted.

Cursor: Context-Dependent Security

When asking Cursor to review database access, supply the relevant schema and access requirements without secret credentials. A query such as SELECT * does not bypass database permissions, but it may return more fields than the caller needs. Review and test generated policies rather than accepting the model’s assessment as proof.

Compare the access tests that pass and fail in your application; a platform integration alone does not establish user isolation.

Authentication and Authorization Gaps

Lovable

For a Lovable app, inspect how protected server actions identify the caller and authorize the requested operation. A client-controlled is_admin flag in localStorage must not be the authority for privileged access.

Bolt.new

For a Bolt app, test that a login UI connects to the intended authentication service. Review session handling, password storage where you implement it, and rate limits on abuse-sensitive actions.

Cursor

For code edited in Cursor, inspect the configured authentication library. If you use next-auth, review the callbacks and session configuration. If password hashing uses bcrypt, verify the work factor against current guidance and your deployment’s performance budget.

XSS and Code Injection Prevention

For applications using React, normal text interpolation escapes text, but unsafe HTML insertion and other injection-sensitive operations still need review. The chosen development tool does not establish which framework or protections the final app uses.

• HTML insertion: When rendering untrusted HTML, use an appropriate sanitizer such as dompurify and review how the sanitized result is used.
• URL and query input: Validate expected values, use context-appropriate output encoding, and parameterize database queries. Merely reading a URL parameter is not an injection vulnerability.
• Code execution: Review uses of eval() and avoid executing untrusted input as code. See code injection prevention.

Test the paths by which untrusted input reaches HTML, database queries, or executable code.

Performance and Availability

Measure slow requests and heavy resources separately from authorization or secret-handling findings. A performance observation does not establish a security vulnerability.

79% of the 119 live sites SimplyScan has scanned (94 sites) have at least one medium-severity speed issue, such as render-blocking scripts or no route-based code splitting.

Use the individual performance findings to identify resources or requests to investigate.

11% of the 119 live sites SimplyScan has scanned (13 sites) have at least one high-severity speed issue, such as render-blocking scripts or no route-based code splitting.

A speed finding’s severity is not a load-test result. Test capacity and availability under a workload appropriate to the application.

AEO and AI Visibility: Can Engines Find Your App?

For discoverability, check crawler access, structured data, and the text available without client-side execution. These checks do not guarantee indexing, ranking, or citation by an answer engine. See Answer Engine Optimization (AEO).

Inspect meta tags and crawler rules in robots.txt. SimplyScan’s AI visibility tool checks selected page, metadata, and crawler-access signals. Those observations do not show whether a particular answer engine has indexed or will cite the page. For client-rendered apps, inspect what content is available without executing JavaScript.

Choosing a Workflow

Choose a workflow you can inspect and maintain. Lovable and Bolt provide app-building workflows; Cursor provides an editor for working on code. For each, check access to source, deployment settings, secret storage, and test results. Assess the tool’s own permissions separately from the application’s security.

How to Secure Your AI-Built App Today

Review the code and deployed behavior before release, using additional expertise where your application’s risks require it.

Run a Security Scan

SimplyScan checks a live URL for recognized exposed-secret patterns, selected anonymous backend exposures, and security headers in about 30 seconds, with no signup for the free scan. It does not test signed-in cross-user access.

Check Your Headers

Inspect deployed security headers and test their intended browser protections. Header checks do not cover all injection or data-leak risks. See Security Headers Tool.

Audit Your Database

Review the rules for the database your app actually uses. For Supabase, test PostgreSQL privileges and RLS with the relevant roles. For Firebase, test the applicable Security Rules and separately review privileged server access.

Monitor Uptime

Use uptime monitoring to detect availability failures and investigate alerts. It does not prevent outages or establish that security controls work.

Verify Secrets

Inspect bundled JavaScript and repository history for secrets. The exposed-key guide describes how to revoke a leaked credential and move secret-dependent operations server-side.

Scan Your Platform

These platform pages explain selected checks on a deployed URL; they do not provide a complete source-code or authorization audit:

• Lovable Security Scanner
• Bolt.new Security Scanner
• Cursor Security Scanner
• Windsurf Security Scanner
• v0 Security Scanner

Related Reading

• Is Vibe Coding Safe? · A deep dive into the risks of AI-driven development.
• The Vibe Coding Security Checklist · Essential steps before you go live.
• How to Fix Exposed API Keys · A guide to moving secrets to the backend.
• Understanding Answer Engine Optimization (AEO) · Making your app visible to the next generation of search.
• SimplyScan vs. Platform Security · Why built-in platform checks aren't enough.

Whichever workflow you choose, investigate findings and test the controls your application relies on. Revisit the review after changes to authentication, data access, or deployment configuration.