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