The present and future of cybersecurity operations will address the skills gap by better utilizing our existing experts and creating more intelligent automation. An evolution is underway in cybersecurity to shift some of the cognitive load from human security experts to machines. When is a machine an appropriate solution and when do you really need a human expert?
In this presentation, FireEye outlines a spectrum of automatability that helps us identify when a machine or a human expert may be the most effective approach to solving cybersecurity challenges. Multiple factors make up this spectrum, including data volume, and the underlying threat behavior's frequency and stability.
Join Evan Wright, Staff Data Scientist with FireEye, as he covers:
-Examples at different points on this automation spectrum, including malware identification, alert triage in the security operations center (SOC), and incident response
-Domain examples that will demonstrate that machine learning solutions will continue to play an important role alongside human experts