Rachel Oyugi

I'm building ZenVeil, a security platform focused on helping developers find, understand, and fix security issues in repositories, local codebases, and APIs.

One thing I've noticed is that AI-generated code can dramatically accelerate development, but it can also introduce vulnerabilities that are easy to miss during reviews.

We've been testing detection for:

Exposed secrets and credentials

Most security tools stop at detection.

ZenVeil is experimenting with AI-assisted explanations, triage, and remediation so developers can move from finding a vulnerability to understanding and fixing it much faster.
The question is:

Would you trust an AI-generated security fix in production?

If yes, what safeguards would you expect?