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.
You need to be responsible for the security of applications, processes, and tools that run on EC2 instances. Amazon Inspector lets you analyze your deployed EC2 instances and helps you identify potential security issues. Some of the basic features include a knowledge base with hundreds of rules that are mapped to common security compliance standards and vulnerability definitions. These rules are regularly updated by AWS security experts. You can install an agent in the operating system of an Amazon EC2 instance to monitor behavior like network, file system, and process activity.
You can also automate vulnerability assessments to make security testing of EC2 instances a regular part of your cloud operations. As a result, Amazon Inspector gives you a prioritized list of findings. A sample list of findings is shown. Amazon inspector is all about protecting the security of your EC2 instances.
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).