Comprehensive Guide to AWS Single Sign-On (SSO): Centralized Access and Permission Management Across Multiple AWS Accounts
Managing and securing access across multiple AWS accounts and third-party applications can be daunting for organizations. AWS Single Sign-On (SSO) simplifies this process by providing centralized control over user access to AWS resources and integrated applications. AWS SSO ensures that users only need one set of credentials to access all the necessary AWS accounts, reducing security risks and operational overhead.
In this article, we’ll take a detailed look at AWS SSO, explaining how it works, its critical components (such as permission sets), and real-life scenarios where it plays a pivotal role in streamlining access management. We’ll also demonstrate how to automate the entire process using Terraform.
AWS SSO is a managed service that allows users to access multiple AWS accounts and third-party SaaS applications using a single set of credentials. Instead of maintaining separate credentials for each account or service, AWS SSO integrates with existing identity management systems (e.g., Microsoft Active Directory, SAML-based providers, or AWS SSO Directory) to provide a unified and secure login experience.
To fully grasp how AWS SSO works, it is essential to understand its key components:
An SSO instance is the container where all AWS SSO configurations, such as user assignments, permission sets, and account linkages, reside. Each SSO instance is unique and can be referenced when you automate or configure permissions using tools like Terraform.
AWS SSO supports multiple identity sources that manage and authenticate users:
Practical Example: Integrating AWS SSO with Microsoft Active Directory
Imagine a large organization using Microsoft AD for on-premises identity management. AWS SSO can integrate with AD via AWS Directory Service to provide seamless login for AD users. This integration allows AD users to access AWS accounts and resources using their existing AD credentials, without additional authentication steps.
Permission sets are an essential feature of AWS SSO. These are predefined or custom permission policies that define what users can or cannot do within an AWS account. By applying permission sets to users or groups, AWS SSO simplifies managing permissions for multiple users and accounts.
Permission sets allow you to decouple users from specific roles. Instead of assigning AWS IAM roles to individual users across accounts, you create permission sets and assign them to users or groups across multiple AWS accounts. This reusable approach reduces management overhead while allowing fine-grained control over permissions.
Practical Scenario: Managing Permissions for Different Departments
Consider a company with multiple AWS accounts for different environments—Development, Staging, and Production. The company has teams of developers, testers, and finance personnel, each requiring different access levels:
Using permission sets, you can:
This approach ensures each team gets only the permissions they need, without over-granting access.
Practical Scenario: Custom Permission Sets for Cloud Operations Team
Suppose your Cloud Operations team needs to manage AWS resources without having full administrative access. You can create a custom permission set like this:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"ec2:*",
"s3:*",
"cloudwatch:*"
],
"Resource": "*"
},
{
"Effect": "Deny",
"Action": [
"iam:*",
"organizations:*"
],
"Resource": "*"
}
]
}
This permission set allows users to manage EC2, S3, and CloudWatch resources, but restricts them from making changes to IAM roles or AWS Organizations.
Once permission sets are created, the next step is to assign them to users or groups. This can be done through the AWS SSO console or automated using tools like Terraform.
Practical Scenario: Group Assignments
In a scenario where a Finance team needs access to billing data across multiple accounts, you can create a FinanceGroup and assign a billing-related permission set to all accounts they manage. This eliminates the need to assign permissions on a user-by-user basis and ensures consistent access control.
Let's explore a few real-world use cases to understand how AWS SSO works in action:
A tech company has three AWS accounts—Development, Staging, and Production—with distinct teams managing each environment. By using AWS SSO, the company can create a unified access control system where:
AWS SSO centralizes all access, and team members can use a single login to switch between accounts.
Solution with AWS SSO and Permission Sets:
Suppose an organization hires external contractors to troubleshoot a production issue. Instead of creating new IAM roles and users, you can:
A large organization using Okta as their identity provider wants to grant employees access to AWS resources using their existing corporate credentials. AWS SSO integrates with Okta via SAML 2.0, allowing the organization to:
This setup allows users to log in to AWS using Okta credentials and access multiple AWS accounts seamlessly.
Automation is essential when managing access in large-scale environments. Terraform can be used to automate the entire AWS SSO setup, including permission sets, user assignments, and account linkages.
Here’s a step-by-step guide for automating AWS SSO with Terraform:
provider "aws" {
region = "us-east-1"
}
resource "aws_ssoadmin_instance" "example" {
identity_store_id = "d-XXXXXXXXXX"
}
In this snippet, the aws_ssoadmin_instance
refers to the SSO instance that has been set up, where identity_store_id
is the ID for the directory service or SSO directory you are using. The identity store is either AWS SSO's internal directory or an integrated AD or SAML provider.
You can now define permission sets within the SSO instance. For example, you might have a permission set for read-only access and another for admin access.
resource "aws_ssoadmin_permission_set" "readonly" {
name = "ReadOnlyAccess"
description = "Provides read-only access to AWS resources"
sso_instance_arn = aws_ssoadmin_instance.example.arn
session_duration = "PT1H"
managed_policies = [
"arn:aws:iam::aws:policy/ReadOnlyAccess"
]
}
resource "aws_ssoadmin_permission_set" "admin" {
name = "AdministratorAccess"
description = "Full access to AWS resources"
sso_instance_arn = aws_ssoadmin_instance.example.arn
session_duration = "PT4H"
managed_policies = [
"arn:aws:iam::aws:policy/AdministratorAccess"
]
}
In this example:
Next, you will want to assign these permission sets to specific users or groups across AWS accounts. Here’s how you can assign a permission set to a group:
resource "aws_ssoadmin_account_assignment" "group_readonly_assignment" {
instance_arn = aws_ssoadmin_instance.example.arn
permission_set_arn = aws_ssoadmin_permission_set.readonly.arn
principal_type = "GROUP"
principal_id = "group-xyz"
target_id = "123456789012" # AWS Account ID
target_type = "AWS_ACCOUNT"
}
resource "aws_ssoadmin_account_assignment" "group_admin_assignment" {
instance_arn = aws_ssoadmin_instance.example.arn
permission_set_arn = aws_ssoadmin_permission_set.admin.arn
principal_type = "GROUP"
principal_id = "group-abc"
target_id = "987654321098" # AWS Account ID
target_type = "AWS_ACCOUNT"
}
In this example:
AWS SSO supports multi-account management, so you can assign permission sets across multiple accounts in one go. Here's an example of how to automate it:
resource "aws_ssoadmin_account_assignment" "multi_account_readonly" {
for_each = toset(["123456789012", "234567890123", "345678901234"]) # AWS Account IDs
instance_arn = aws_ssoadmin_instance.example.arn
permission_set_arn = aws_ssoadmin_permission_set.readonly.arn
principal_type = "GROUP"
principal_id = "group-xyz" # Group ID
target_id = each.value
target_type = "AWS_ACCOUNT"
}
resource "aws_ssoadmin_account_assignment" "multi_account_admin" {
for_each = toset(["987654321098", "876543210987", "765432109876"]) # AWS Account IDs
instance_arn = aws_ssoadmin_instance.example.arn
permission_set_arn = aws_ssoadmin_permission_set.admin.arn
principal_type = "GROUP"
principal_id = "group-abc" # Group ID
target_id = each.value
target_type = "AWS_ACCOUNT"
}
Here, the for_each
loop is used to assign permission sets across multiple AWS accounts. For instance:
This method simplifies the process of assigning the same permission set across multiple accounts.
To fully automate the AWS SSO process, you also need to manage users or groups within your identity source, whether it’s AWS SSO Directory, Microsoft Active Directory, or a SAML 2.0 provider like Okta.
Scenario: Adding Users to a Group (for AWS SSO Directory)
If you’re using the AWS SSO Directory, you can create and manage users via the console or by automation tools like the AWS SDK or AWS CLI. Here’s a simplified Terraform code to demonstrate how you can assign users to groups if you're managing users within an internal AWS SSO Directory:
resource "aws_iam_user" "developer1" {
name = "developer1"
}
resource "aws_iam_group" "developers" {
name = "DevelopersGroup"
}
resource "aws_iam_group_membership" "add_developer1" {
group = aws_iam_group.developers.name
users = [aws_iam_user.developer1.name]
}
This snippet creates an IAM User named developer1, a group called DevelopersGroup, and assigns the user to that group. This setup allows AWS SSO to manage user access based on group memberships.
Let’s consider a real-life multi-account setup where AWS SSO is utilized:
A company has multiple AWS accounts for Development, Staging, and Production environments. The organization needs different levels of access for three teams:
Solution:
With this approach:
By centralizing access control and using permission sets, AWS SSO enables flexible, scalable, and secure management of user roles and privileges across an organization's AWS environments.
To maximize the effectiveness and security of AWS SSO, consider the following best practices:
Always grant the minimum permissions necessary for users to perform their tasks. Avoid over-privileging by carefully selecting managed policies or crafting precise custom policies.
Assign permission sets to user groups rather than individual users. This approach simplifies management and ensures consistency in access control.
Periodically review permission sets and assignments to ensure they align with current organizational roles and responsibilities. Utilize AWS tools like AWS IAM Access Analyzer to identify overly permissive policies.
Enhance security by enforcing Multi-Factor Authentication (MFA) for accessing sensitive permission sets. AWS SSO supports MFA integration, adding an extra layer of protection.
Use tools like Terraform to automate AWS SSO configurations. Automation ensures consistency, reduces manual errors, and facilitates version control of access configurations.
Enable AWS CloudTrail and AWS Config to monitor and log all access and configuration changes. Regularly analyze logs to detect and respond to unauthorized activities.
Define appropriate session durations and leverage session policies to control how long users can remain authenticated. Shorter sessions reduce the risk of unauthorized access from compromised credentials.
Implement segregation of duties by ensuring that no single user has excessive permissions that could lead to security breaches. Use distinct permission sets for different roles to enforce this separation.
Maintain comprehensive documentation of permission sets, their intended use cases, and the groups/users they are assigned to. Communicate these policies clearly to all stakeholders to ensure understanding and compliance.
AWS regularly updates its services and best practices. Stay informed about the latest developments in AWS SSO and IAM to continuously enhance your access management strategy.
AWS Single Sign-On (SSO) offers a powerful and scalable solution to manage access across multiple AWS accounts and external applications. With permission sets, group assignments, and identity provider integration, organizations can efficiently control who has access to what, enhancing security and operational efficiency.
Key Benefits:
By leveraging the full capabilities of AWS SSO, organizations can streamline their operations, reduce complexity, and enhance security across their AWS environments.
Happy Clouding!!!
Did you like this post?
If you did, please buy me coffee 😊
Nice article.Thank you for this post.
It cleared up so much for me.
You're welcome. Make sure to subscribe and stay updated with our latest posts.