SOC Director, Chris Cheyne, and Head of Content Management for the Security Operations Centre, Jay Ojo, discuss the use of Machine Learning (ML) and Artificial Intelligence (AI) within security analytics and aim to debunk some of the common misconceptions and myths surrounding what constitutes AI and ML. Through an analysis of the combination of human and machine intelligence, we learn what emerging technology can and can’t do, and how it can be utilised accurately within security operations to detect and defend against threats.

What You Will Learn

How machine learning can be used in security analytics to make predictive assessments.
How machine learning can pick up activity that isn’t always picked up by traditional security solutions and the reasons why.
The concept of accurate business service profiling, and how to reduce false positives.
Using behavioural type rules and user behaviour analytics to put principles into practice.