Security Issues in JetBrains AI Code
Critical security vulnerabilities commonly found in JetBrains AI-generated apps. Learn what to check and how to fix them before going to production.
Security risks in JetBrains AI apps
JetBrains AI may generate Java code with JPQL or SQL strings built with concatenation (SQL injection risk), Spring Security configurations that look complete but have misconfigured method security, and XML parsing code vulnerable to XXE attacks. It may also generate overly permissive CORS configurations for Spring Boot REST controllers
How to fix them
Use JPA/Hibernate named parameters or Spring Data query methods instead of string-concatenated JPQL. Configure Spring Security's method security annotations explicitly on every endpoint. Use a hardened XML parser configuration that disables external entities. Restrict CORS to specific domains in your Spring Security config
Authentication and authorization
Every JetBrains AI app needs authentication — verifying who the user is — and authorization — verifying what they're allowed to do. Check that every API route and server action verifies the user's identity before processing requests. Check that users can only access their own data. A common JetBrains AI pattern is adding auth to the UI but not the API, which means anyone with the endpoint URL can access data directly.
Data validation
Never trust data coming from the client. Every form submission, URL parameter, and API request body should be validated server-side before processing. Use a schema validation library like Zod to define expected shapes and reject anything that doesn't match. This prevents injection attacks, data corruption, and unexpected crashes.
Security headers
Configure security headers to protect against common web attacks: Content-Security-Policy to prevent XSS, Strict-Transport-Security to enforce HTTPS, X-Frame-Options to prevent clickjacking, and X-Content-Type-Options to prevent MIME sniffing. Most hosting platforms let you configure these in a headers file or configuration.
When to get a professional review
If your app handles user data, processes payments, or stores sensitive information, a professional security review is essential before launch. Our security scan ($19) checks for the most critical vulnerabilities, and our full security review service provides a comprehensive assessment with remediation guidance.
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Related guides
How to Deploy Your JetBrains AI-Built App
Step-by-step guide to deploying your JetBrains AI app to production.
Common Bugs in JetBrains AI-Generated Code
The most common bugs we find in JetBrains AI apps and how to fix them.
Optimizing JetBrains AI-Generated Code for Performance
How to make your JetBrains AI app faster.
Adding Tests to Your JetBrains AI Project
How to add a testing framework to your JetBrains AI app.
Related technologies
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