Vibe coding security: check the code your AI wrote
Vibe coding ships features fast, and with them the mistakes AI assistants make most: API keys in the browser, secrets in source, unvalidated input and dependencies nobody chose. Scan it before it ships.
Scan your AI-written codeWhat vibe coding security checks
The issues AI-generated code introduces most often, in one repository scan.
Secrets and exposed AI keys
Hardcoded credentials, and AI provider keys exposed through public environment variables or LLM clients running in the browser.
Injection and unsafe patterns
Static analysis for SQL injection, XSS, command injection, weak crypto and other patterns that generated code repeats from its training data.
Vulnerable and invented dependencies
Known CVEs in the packages your assistant added, so you catch outdated or risky dependencies before they reach production.
LLM output handling
Model output passed to eval, exec or a shell, and agent tools that can run arbitrary commands.
Risky agent settings
Rules files with hidden instructions, auto-approved agent tools and unpinned MCP servers committed alongside the code.
Infrastructure files
Dockerfiles, Terraform and Kubernetes manifests the assistant generated, checked for insecure defaults.
How it works
From repository to fixes in three steps.
Connect your repo or run the CLI
Scan a GitHub or Bitbucket repository from the dashboard, or run the CLI locally so your code never leaves your machine.
Every category in one pass
Secrets, SAST, dependencies, infrastructure as code and AI configuration are checked together.
Fix with your assistant
Each finding explains the risk and the fix, ready to paste back into your AI assistant.
Static analysis finds known patterns; it does not prove code is secure or replace review of business logic and authorization. Use it as a fast safety net for AI-written code, not a substitute for testing.
Vibe coding security questions
It can be, but AI assistants regularly produce code with hardcoded secrets, missing input validation and outdated dependencies. Scanning before you ship catches the most common of these mistakes.
It is a code scanner tuned for the mistakes AI assistants make: secrets in source, AI keys exposed to the browser, injection flaws, risky dependencies and unsafe agent configuration.
Yes. It scans the code those tools produce and the rules files and settings they rely on, such as .cursorrules, CLAUDE.md and copilot-instructions.md.
The free plan includes five repository scans a month. The CLI and VS Code extension can also scan locally.
Ship AI-written code with confidence
Secrets, injection flaws, risky dependencies and agent settings, flagged before your users find them.
Run free audit