Cyber threat actors keep reinventing their approaches to successfully evade cybersecurity defenses and wreak more havoc.
Machine learning is the latest tool for security teams to get ahead of obfuscated, new and known threats. With every company claiming, machine learning capabilities, cybersecurity professionals are confused on how to differentiate among the claims.
In this guide, readers will learn:
The root problem of many of today's security tools is that they still utilize yesterday's technologies to attempt to detect new threats.
Why machine learning has become such a hot topic in cybersecurity and how its application can help organizations improve their cybersecurity defenses.
What are the differences between the two major types of machine learning, how they work and how they're applied to cybersecurity.