vibe-security

To audit AI-generated code for security vulnerabilities, trigger a comprehensive security review that identifies exposed keys, misconfigurations, and dangerous patterns across authentication, payments, and data access before shipping.

Common security risks introduced by AI coding include exposed environment secrets, misconfigured access controls, flawed authorization logic, and insecure integration patterns across data access and deployment configurations.

You can check your codebase for exposed environment secrets by running a full security audit that validates secrets, access controls, and secure integration patterns using built-in reference files.

Yes, you can detect row-level security and authorization flaws by applying a security audit workflow designed to identify threat patterns in data access and authentication logic across AI-assisted projects.

Yes, the security audit applies validation checks across deployment configurations and payment integrations, scanning for dangerous patterns and insecure integration logic commonly introduced by AI-generated code.

The best way to get prioritized fixes for AI-generated code risks is to run a guided remediation audit, which provides actionable recommendations and prioritized fixes for detected threat patterns.