How IAM is used to securely manage access
Managing user identities with long term credentials in IAM
Managing access using IAM user groups & roles
Using IAM policies to define and manage permissions
Key Management Service (KMS)
AWS Web Application Firewall
AWS Firewall Manager
Using AWS Network Firewalls to Secure Your VPCs
AWS Security Hub Overview
Other AWS Security Services
AWS Secrets Manager
The course is part of this learning path
This section of the AWS Certified Solutions Architect - Professional learning path introduces the key identity management, security, and encryption services within AWS relevant to the AWS Certified Solutions Architect - Professional exam. Core to security is AWS Identity & Access Management commonly referred to as IAM. This service manages identities and their permissions that can access your AWS resources, so understanding how this service works and what you can do with it will help you to maintain a secure AWS environment. IAM is an important service in ensuring your resources are secure.
Want more? Try a Lab Playground or do a Lab Challenge!
- Learn about identity and access management on AWS, including users, groups & roles, IAM policies, MFA, identity federation, and cross-account access
- Learn the fundamentals of AWS Web Application Firewall (WAF), including what it is, when to use it, how it works, and why use it
- Understand how to configure and monitor AWS WAF
- Learn about AWS Firewall Manager and its components
- Learn how to configure AWS Shield
- Learn the fundamentals of AWS Cognito
Amazon Macie uses machine learning to do its work and helps you discover and analyze sensitive data stored in Amazon S3 buckets, including personal identifiable information, or PII, such as names, addresses, credit card numbers, API Keys, and access credentials among many others. Macie scans S3 buckets and recognizes critical private information. It also automatically tracks changes to buckets and only evaluates new or modified objects in future scans. That way, it doesn't have to review objects that have not changed and makes the discovery job significantly more efficient and scalable. You can run one-time or automated data discovery and display the results to AWS Security Hub.
Amazon Macie provides a list of findings where the severity and finding type are clearly displayed. In this case, we created a bucket called academy-ca-macie and uploaded a file with disabled user keys, an RDS SQL Query, a credit card list in CSV format, and a few other files. Notice the severity as medium or high. Also, notice the finding type for the S3 objects include Personal, Financial, and Credentials. It also points to the resource that is affected. Finally, it shows when the object was last scanned. In the future, unless there is a change, these objects will not be re-evaluated.
Danny has over 20 years of IT experience as a software developer, cloud engineer, and technical trainer. After attending a conference on cloud computing in 2009, he knew he wanted to build his career around what was still a very new, emerging technology at the time — and share this transformational knowledge with others. He has spoken to IT professional audiences at local, regional, and national user groups and conferences. He has delivered in-person classroom and virtual training, interactive webinars, and authored video training courses covering many different technologies, including Amazon Web Services. He currently has six active AWS certifications, including certifications at the Professional and Specialty level.