AI CODE VULNERABILITY SCANNER
Find vulnerabilities in AI-generated code before users do
AI coding tools can ship a convincing app while quietly creating injection paths, missing authorization checks, exposed secrets, and dependency risk. VCX scans the repository with deterministic rules so every finding has evidence instead of hand-wavy AI confidence.
For AI founders, Cursor users, and vibe-coded SaaS builders who need a practical security pass before launch.
Checks high-risk vulnerability classes including SQL injection, XSS, path traversal, hardcoded secrets, insecure auth, and vulnerable dependencies.
Reports include severity, rule name, file path, and evidence so developers can verify the problem quickly.
Built for AI-generated codebases where the first version works, but nobody has manually audited every route, helper, and dependency.
USE CASES
Where ai code vulnerability scanner helps
Use VCX when AI helped create the code and you need verifiable security, architecture, and maintainability evidence before production launch.
Pre-launch vulnerability scan
Run a security-focused pass before customers, investors, or external reviewers start testing the app.
Generated auth and API review
Check routes, handlers, and data access code for missing authorization, unsafe queries, and user-controlled input mistakes.
Dependency risk triage
Surface vulnerable or risky packages so dependency problems do not hide behind a pretty AI-generated interface.
FAQ
Questions teams ask before trusting an AI-generated codebase
What is an AI code vulnerability scanner?
It is a security scanner focused on code produced or heavily modified by AI tools. VCX looks for concrete vulnerability patterns and dependency risk with repeatable static checks.
Does VCX prove my app is secure?
No scanner can prove that. VCX finds high-signal, verifiable issues quickly so your security review starts with evidence instead of guesswork.
Why scan AI-generated code differently?
AI-generated apps often assemble routes, auth, database access, and dependencies quickly. That speed makes it easy to miss cross-file security assumptions and repeated unsafe patterns.
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