How to Auto‑Label 10K APIs with 95% Confidence Using Self‑Learning Feature Engineering
This article presents a detailed case study of how a large‑scale API security team built an automated, self‑learning classification system that tags tens of thousands of APIs with business labels, improves model accuracy by five points, and maintains high precision through a confidence‑driven feedback loop.
