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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

Security in the field

The Elastic Stack wasn't originally designed with the security analytics use case in mind; remember, it was designed to be an efficient data store and search engine. However, it has become apparent that—similar to the logging/metrics/performance use case in IT operations—the Elastic Stack is also a very good platform to use for Security Analytics because of its ability to allow real-time access to high volumes of a variety of data. Let's see why and how the evolution of the Elastic Stack into a viable platform for security analytics has taken place.

The volume and variety of data

Before diving into how to operate against security threats with Elastic ML, let's provide a bit...

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