Category
Security
SAST finds known-bad patterns. AI-generated code fails by omission — missing auth checks, missing tenant isolation, missing rate limits. Those gaps don't show up in a scan queue. They show up in incident reports.
Product
63% of people shipping AI-generated code aren't developers. Your AppSec program can't see them. Here's what the codebase risk actually looks like — and how to close the gap.
Product
A controlled experiment on a Java Spring API. Same prompts, same model, two branches: one reviewed by VibeReview by SecurityReview AI, one not. We are publishing the wins and the regression.
Security
When the model writes a vulnerable function and a human catches it in review, you've paid twice: once for the AI to generate insecure code, and again for the AI (or a developer) to fix it. Secure-by-default generation means you pay once, for the code you actually wanted.
Engineering
If your engineering organization is already shipping AI-assisted changes daily, now is the time to understand where AI is influencing your systems, how those workflows affect production risk, and whether your current AppSec model can still keep up.
