AI makes coding faster. It also makes insecure coding faster. Here are the real security risks of building applications with vibe coding tools—and how to protect yourself.
See which risks actually affect your application.
AI tools often generate code with hardcoded API keys, database passwords, and secrets directly in source files.
Common to find OpenAI keys (sk-...), Stripe keys (sk_live_...), and database connection strings in AI-generated code.
Credential theft, unauthorized API access, financial losses from abused services.
Always review generated code for secrets. Move credentials to environment variables before deployment.
AI rarely configures Row Level Security (Supabase) or Security Rules (Firebase), leaving databases completely exposed.
CVE-2025-48757: 170+ Lovable apps had exposed Supabase databases due to missing RLS configuration.
Complete data exposure. Anyone can read, modify, or delete all user data.
Enable RLS/Security Rules before deployment. Test by querying without authentication.
AI generates code that hides features with JavaScript but doesn't enforce security server-side.
Admin panels hidden with CSS/JS but API endpoints remain unprotected.
Trivial bypass of access controls by calling APIs directly.
Always implement server-side authentication and authorization checks.
Generated code often fetches data without checking if the user is authorized to access it.
/api/users/123 returns user data without verifying the requester owns that data.
IDOR vulnerabilities allowing access to other users' data.
Verify ownership on every data access: WHERE user_id = auth.uid()
AI sometimes generates queries using string concatenation instead of parameterized queries.
const query = `SELECT * FROM users WHERE id = '${userId}'` - vulnerable to injection.
Database compromise, data theft, potential server takeover.
Use ORMs or parameterized queries. Never concatenate user input into queries.
AI doesn't configure CSP, HSTS, X-Frame-Options, or other security headers.
Deployed sites vulnerable to XSS, clickjacking, and downgrade attacks.
Increased attack surface for client-side attacks.
Configure security headers in hosting platform or application config.
VAS scans your vibe-coded app for all these vulnerabilities automatically. Free scan, instant results.
Scan Your App NowVibe coding security risks are vulnerabilities introduced when building applications with AI coding assistants. These include exposed credentials, missing database security, weak authentication, and other issues that arise because AI prioritizes functional code over secure code.
AI coding tools are trained to produce working code quickly, not secure code. They often skip security configurations (like RLS or Security Rules), suggest hardcoded credentials for convenience, and don't implement server-side validation. Security requires explicit configuration that AI rarely adds.
Based on VAS scan data, approximately 73% of vibe-coded applications have at least one security vulnerability before review. Veracode's 2025 report found that 45% of AI-generated code contains security flaws. These aren't theoretical—they're real vulnerabilities.
Yes, but you must review and secure the generated code. Run security scans before deployment, configure database access controls, move secrets to environment variables, and add security headers. The code needs hardening—AI generates the functionality, you add the security.
Missing database access controls (RLS/Security Rules) is the most critical risk. It leads to complete data exposure. CVE-2025-48757 showed this affects real apps at scale. Exposed API keys are the most common risk, appearing in the majority of unreviewed vibe-coded projects.
Last updated: January 16, 2026