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  5. Automating and Centralizing Security Checks with AWS Security Hub

Summary

Contents

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Course Introduction
1
Introduction
PREVIEW2m 30s
Course Summary
10
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Overview
Difficulty
Beginner
Duration
20m
Students
148
Ratings
5/5
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Description

This course explores AWS Security Hub, starting with a high-level overview of AWS security. We are then going to highlight some of the services that sit in the AWS security space concluding with AWS Security Hub and some sample security result findings obtained using the AWS Console.

Learning Objectives

  • Learn how AWS Security Hub helps you automate security checks, manage security issues, and identify the highest priority security findings in your AWS implementation
  • Understand AWS security services including Amazon Inspector, Macie, and Guard Duty 
  • Learn how to check your environments and systems against security industry standards and best practices

Intended Audience

This course is intended for architects, developers, and system operators looking for a unified, scalable way to secure AWS accounts and resources.

Prerequisites

To get the most out of this course, you should meet the requirements for the AWS Cloud Practitioner certification and preferably one of the AWS associate-level certifications.

Transcript

In this course, we discussed AWS Security Hub. We highlighted some of the services that sit in the AWS Security space, concluding with AWS Security Hub and some sample security findings obtained from the AWS console. For Cloud Academy, this is Jorge Negron. Thanks for watching.

About the Author
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Jorge Negrón
AWS Content Architect
Students
2361
Courses
12

Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).