Security Engineering on AWS

COURSE OUTLINE

DAY 1

Module 1: Security Overview and Review

• Explain Security in the AWS Cloud.
• Explain AWS Shared Responsibility Model.
• Summarize IAM, Data Protection, and Threat Detection and Response.
• State the different ways to interact with AWS using the console, CLI, and SDKs.
• Describe how to use MFA for extra protection.
• State how to protect the root user account and access keys.

Module 2: Securing Entry Points on AWS

• Describe how to use multi-factor authentication (MFA) for extra protection.
• Describe how to protect the root user account and access keys.
• Describe IAM policies, roles, policy components, and permission boundaries.
• Explain how API requests can be logged and viewed using AWS CloudTrail and how to view and analyze access history.
• Hands-On Lab: Using Identity and Resource Based Policies.

Module 3: Account Management and Provisioning on AWS

• Explain how to manage multiple AWS accounts using AWS Organizations and AWS Control Tower.
• Explain how to implement multi-account environments with AWS Control Tower.
• Demonstrate the ability to use identity providers and brokers to acquire access to AWS services.
• Explain the use of AWS IAM Identity Center (successor to AWS Single Sign-On) and AWS Directory Service.
• Demonstrate the ability to manage domain user access with Directory Service and IAM Identity Center.
• Hands-On Lab: Managing Domain User Access with AWS Directory Service

 

Day 2

Module 4: Secrets Management on AWS

• Describe and list the features of AWS KMS, CloudHSM, AWS Certificate Manager (ACM), and AWS Secrets Manager.
• Demonstrate how to create a multi-Region AWS KMS key.
• Demonstrate how to encrypt a Secrets Manager secret with an AWS KMS key.
• Demonstrate how to use an encrypted secret to connect to an Amazon Relational Database Service (Amazon RDS) database in multiple AWS Regions
• Hands-on lab: Lab 3: Using AWS KMS to Encrypt Secrets in Secrets Manager

Module 5: Data Security

• Monitor data for sensitive information with Amazon Macie.
• Describe how to protect data at rest through encryption and access controls.
• Identify AWS services used to replicate data for protection.
• Determine how to protect data after it has been archived.
• Hands-on lab: Lab 4: Data Security in Amazon S3

Module 6: Infrastructure Edge Protection

• Describe the AWS features used to build secure infrastructure.
• Describe the AWS services used to create resiliency during an attack.
• Identify the AWS services used to protect workloads from external threats.
• Compare the features of AWS Shield and AWS Shield Advanced.
• Explain how centralized deployment for AWS Firewall Manager can enhance security.
• Hands-on lab: Lab 5: Using AWS WAF to Mitigate Malicious Traffic

 

Day 3

Module 7: Monitoring and Collecting Logs on AWS

• Identify the value of generating and collecting logs.
• Use Amazon Virtual Private Cloud (Amazon VPC) Flow Logs to monitor for security events.
• Explain how to monitor for baseline deviations.
• Describe Amazon EventBridge events.
• Describe Amazon CloudWatch metrics and alarms.
• List log analysis options and available techniques.
• Identify use cases for using virtual private cloud (VPC) Traffic Mirroring.
• Hands-on lab: Lab 6: Monitoring for and Responding to Security Incidents

Module 8: Responding to Threats

• Classify incident types in incident response.
• Understand incident response workflows.
• Discover sources of information for incident response using AWS services.
• Understand how to prepare for incidents.
• Detect threats using AWS services.
• Analyze and respond to security findings.
• Hands-on lab: Lab 7: Incident Response