With AI2, Machine Learning and Analysts Come Together to Impress, Part 1: An Introduction

Machine learning is everywhere in the world of cybersecurity these days. It is often thought of as the magic bullet to secure systems and networks -- a tool able to identify previously invisible attacks through a nontransparent set of functions, as in neural nets. Transparency aside, neural nets and other algorithms have indeed proven very effective. Security professionals run into a distinct problem when attempting to do this, however. Machine learning classifiers perform much better in the supervised case, where labeled data is available.