I built Vaultace after spending months coding with Claude,
only to realize: How do I know this AI-generated code is
actually secure?
Traditional security scanners like SonarQube treat AI code
like human code, missing patterns unique to AI tools:
- Template SQL injection in example code
- Hardcoded JWT secrets in boilerplate auth
- Incomplete input validation in rapid prototypes
- Authentication bypasses in AI-generated examples
What makes Vaultace different:
• Detects vulnerability patterns specific to AI coding tools
(Claude, Cursor, Copilot)
• 60-second scans (built for rapid AI development cycles)
• AI-powered fix suggestions that understand your context
• Developer-friendly UX (no enterprise security bloat)
The validation: I built the entire platform using Claude,
then scanned it with Vaultace and found 3 vulnerability
patterns in my own AI-generated code. Exactly the kind of
issues traditional scanners miss - and exactly why we need
tools built for AI development.
Try it: Free scan at https://vaultace.co - just drop your
GitHub repo URL, get results in under 60 seconds.
Would love feedback from the HN community, especially if
you've run into security concerns with AI-generated code!