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.
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?
ZenVeil helps developers find, understand, and fix security issues without the complexity of traditional security tools. Scan GitHub repositories, local codebases, and APIs for secrets, supply chain risks, and common security issues. Generate AI-powered explanations, remediation guidance, prioritize findings with AI triage, and create pull requests with fixes. Available through both a web dashboard and CLI.
