CISOs and security professionals are now deploying a new wave of User Behavioral Analytics (UBA) products featuring Machine Learning (ML) and other analytics techniques to find and respond to attacks that have evaded other defenses.
This Guide provides an explanation of the basic technologies of Machine Learning and a framework for determining whether Machine Learning-Based UBA is a fit for your organization. Read it and learn how to set your security team up for success by accelerating attack detection and incident response using this new technology.
Principles of ML and how it applies to security
Key evaluation points for acquiring ML
How to supplement existing security infrastructures with UBA
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