This document discusses machine learning and analytics applications in cybersecurity. It provides an overview of machine learning concepts and terms. It then discusses McAfee's analytic ecosystem and how machine learning, deep learning, and AI are applied across McAfee products. The document outlines risks in analytic development like bias, adversarial machine learning, and lack of explainability. It emphasizes the importance of an analytic development protocol that includes validation, verification, and risk assessment. The goal is to develop analytics in a responsible way and mitigate hype around new techniques.