Trae AI Security Checklist
Last updated: April 20, 2026
Use this checklist to ensure your Trae AI application is secure before launch. 3 critical items require immediate attention.
Why This Security Checklist Matters
Security checklists serve as systematic guides for identifying vulnerabilities that might otherwise be overlooked during rapid development cycles. For Trae AI applications specifically, this checklist addresses the most common security gaps that emerge when using AI-assisted development workflows.
Research from multiple security organizations indicates that approximately 80% of AI-built applications contain at least one exploitable vulnerability at launch. The vulnerabilities are often predictable. They follow patterns that this checklist is designed to catch. By systematically reviewing each item, you significantly reduce the risk of launching an insecure application.
Unlike generic security checklists, this guide focuses specifically on vulnerabilities prevalent in Trae AI applications. Each item has been prioritized based on real-world attack patterns and the potential impact of exploitation. Critical items should be addressed before any production deployment.
Critical Priority
Critical items can lead to complete application compromise, data breaches, or unauthorized access to all user accounts. These must be addressed before deploying to production. Attackers actively scan for these vulnerabilities.
High Priority
High priority items represent significant security risks that could allow unauthorized access to sensitive data or functionality. While not immediately catastrophic, these vulnerabilities should be fixed as soon as possible.
Medium/Low Priority
Medium and low priority items strengthen your overall security posture. While they may not be immediately exploitable, addressing them prevents attack chains and defense-in-depth gaps.
Manual vs Automated Security Checking
While manual security reviews are thorough, they're time-consuming and prone to human error. Automated scanning catches common vulnerabilities instantly, freeing you to focus on business logic and complex security decisions.
Items vas Automates
- Exposed API keys and secrets in JavaScript bundles
- HTTP security header configuration
- Supabase RLS policy testing
- Firebase Security Rules validation
- Cookie security attributes
Manual Review Still Required
- Business logic vulnerabilities
- Custom authentication implementations
- Access control logic in API routes
- Data validation requirements
- Third-party integration security
Secret Management
Remove hardcoded secrets
AutoNo API keys in source code
Use environment variables
Store secrets securely
Audit dependencies
Check for vulnerable packages
Database Security
Enable access controls
AutoConfigure RLS or Security Rules
Use parameterized queries
Prevent SQL injection
Encrypt sensitive data
Protect PII and credentials
Authentication
Implement proper auth
Use established auth solutions
Require email verification
AutoConfirm user identity
Secure session management
AutoHttpOnly cookies, proper expiry
Explore Related Resources
Don't Check Manually
vas automatically checks 7 of these 12 items. Get instant results with detailed remediation guidance.
Scan your Trae app →Frequently Asked Questions
Does Trae send my code to ByteDance servers?
Yes, Trae processes code through ByteDance's cloud infrastructure. Exclude sensitive files using .gitignore and IDE settings. Verify this approach complies with your project's data handling requirements before using on proprietary code.
How is Trae different from other AI assistants for security?
The main security distinction is infrastructure — Trae routes through ByteDance while Cursor and Copilot use different providers. Apply the same practices regardless: exclude secrets from context, review auth code, and scan deployed apps.
More on Trae AI Security
Every angle of Trae security, from the specific findings we detect to step-by-step fixes.
Trae AI Security Scanner
Hub page: scan your Trae app for vulnerabilities.
Trae AI Security Risks
Specific risks we find in Trae apps, with real-world examples.
Trae AI Security Issues
Issues grouped by severity with detection and fix steps.
Is Trae AI Safe?
Honest assessment of Trae's production readiness.
How to Secure Trae AI Apps
Step-by-step hardening guide for Trae deployments.
Can Trae AI Apps Be Hacked?
Attack vectors specific to Trae and how they get exploited.