Mentioned in 2 AI use cases across 2 industries
This is like having a very smart senior engineer automatically review every code change for your team — inside your IDE, GitHub, GitLab, or the command line — and point out bugs, security issues, and style problems before they hit production.
This is about putting guardrails around code written by AI assistants (like GitHub Copilot or ChatGPT) so that insecure code doesn’t sneak into your products. Think of it as a security scanner and policy engine that constantly checks and enforces rules on everything AI is allowed to contribute to your software.