Machine learning (ML) is one of today's "must-have" cybersecurity technologies, but is it really able to address every challenge equally? Solving real problems is more important than buying the "best" technology, and you don't need to be a data scientist to figure out the most critical problems that you need to solve. You simply need to understand that different types of ML solve different problems and ask the right questions to determine the right tool for the job at hand.
Join Mario Daigle, VP of Product for Interset, a Micro Focus company, to discuss two main categories of machine learning—supervised and unsupervised—and how they can be applied practically in the context of solving cybersecurity problems.