This document summarizes a presentation about using machine learning to detect web application vulnerabilities. The speaker discusses developing an AI called SAIVS that can automatically crawl web apps and detect vulnerabilities. SAIVS uses techniques like naive Bayes and multilayer perceptrons to recognize page types, detect crawling failures, and input correct form values through reinforcement learning. It is pre-trained on sample web apps to efficiently learn crawling before analyzing real client apps. The goal is to develop fully automated security assessment that does not rely on human skills.