Elastic Machine Learning for Cybersecurity

Elastic Machine Learning for Cybersecurity

Purchase

To purchase this eLearning please click "Purchase" below. If you are purchasing for someone else please check "This is for someone else".

The eLearning is priced at $ 200.00 USD per participant


Summary

Network security analysts have the daunting daily task of identifying potential threats in an endless ocean of network security data. In this class, you’ll see how Elastic machine learning can help you quickly and efficiently detect those threats, regardless of how much data you need to analyze.
Note: This course is a module of the Security Analytics specialization.

Description

Elastic machine learning features can automatically model the behavior of your network security data trends, periodicity, and more, all in real time to identify issues faster, streamline root cause analysis, and reduce false positives. After completing this course, you’ll be able to use the powerful features of Elastic machine learning for identifying anomalies in your security data.

Topics Covered

  • Using Elastic Machine Learning for Security
  • Exploring the Security Threat Landscape
  • Detecting Security Anomalies
  • DNS Data Exfiltration
Download Course Outline

Length

2-3 hours

Audience

Network Security Analysts, Security Practitioners, Information Security Consultants, System Administrators

Language

English

Prerequisites

Requirements

  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Additional Information

Training Specializations

This course is a module of the Security Analytics specialization. Find out how our focused Training Specializations can help you with your use case.

General Training Information

All training materials are provided via the Elastic training portal. Have training questions? Review our FAQ or email us.