The Power Of Data Analysis In Threat Intelligence – Part 2: Machine Learning

This blog explains how data analysis and machine learning techniques (supervised learning: regression and classification; unsupervised learning: PCA and clustering; and text-based methods like normalization, trie searches, and regex) are used to convert raw security-related data into actionable threat intelligence, and discusses strengths, weaknesses, and use cases for each method.