AWS IAM Roles vs IAM Users: Differences, Security, and Best Practices
AWS IAM Roles vs IAM Users: Differences, Security, and Best Practices
Understand how AWS IAM roles and IAM users work, how they manage access to cloud resources, and why temporary credentials are important for securing your AWS infrastructure. Explore real-world scenarios, JSON policies, AWS CLI commands, and practical security recommendations.
Introduction: Why Does AWS IAM Matter?
Security is one of the most important responsibilities when managing cloud infrastructure. Whether you are deploying a Node.js application, managing an EC2 instance, configuring an S3 bucket, or building a CI/CD pipeline, your application and team members need permission to access AWS resources.
Amazon Web Services provides Identity and Access Management (IAM) to control who can access your AWS account and what actions they can perform.
When working with AWS IAM, two commonly discussed concepts are IAM users and IAM roles. Both represent identities in AWS and can have permissions attached to them. However, they differ significantly in how they are authenticated, how credentials are issued, and how access is managed.
For example, imagine you have a Node.js application running on an EC2 instance. The application needs to upload files to an S3 bucket. One approach is to create an IAM user, generate access keys, and store them in application configuration. Another approach is to assign an IAM role to the EC2 instance and let AWS provide temporary credentials.
The second approach avoids storing long-term AWS access keys inside your application.
An IAM user is an identity that can have long-term credentials, while an IAM role is an identity that an authorized principal assumes to receive temporary credentials. AWS recommends temporary credentials wherever possible.
In this guide, we will explore AWS IAM roles vs IAM users, their differences, security implications, practical implementation examples, and best practices for production environments.
- What Is AWS IAM?
- What Is an IAM User?
- What Is an IAM Role?
- IAM Roles vs IAM Users: Key Differences
- Long-Term vs Temporary Credentials
- Understanding IAM Trust Policies
- Understanding IAM Permissions Policies
- Real-World AWS Use Cases
- Practical Implementation Example
- AWS IAM Security Best Practices
- Common IAM Security Mistakes
- IAM Security Checklist
- Frequently Asked Questions
1. What Is AWS IAM?
AWS Identity and Access Management (IAM) is a service that helps you securely control access to AWS services and resources.
It allows administrators to define identities, assign permissions, and control which actions are allowed or denied.
For example, you might want to:
- Allow a developer to view EC2 instances.
- Allow an application to upload files to a specific S3 bucket.
- Allow a Lambda function to read messages from an SQS queue.
- Allow a DevOps engineer to deploy an application.
- Allow a monitoring service to read CloudWatch metrics.
IAM provides several important components:
| IAM Component | Purpose |
|---|---|
| IAM User | An identity that can have long-term credentials. |
| IAM Group | A collection of IAM users with shared permissions. |
| IAM Role | An identity that trusted principals can assume to obtain temporary credentials. |
| IAM Policy | A document defining allowed or denied actions and resources. |
| IAM Identity Center | A service for centrally managing workforce access to AWS accounts and applications. |
IAM is a global AWS service. Its identity and access management configuration is not created separately in each Region, although the resources that identities access may be regional.
2. What Is an AWS IAM User?
An IAM user is an identity created within an AWS account. It can represent an individual person or, in some legacy or specialized integrations, an application.
An IAM user can have one or both of the following credential types:
- Console password: Used to sign in to the AWS Management Console.
- Access keys: Used for programmatic access through AWS CLI, SDKs, or other compatible tools.
An IAM user can also be assigned permissions through directly attached policies or IAM groups.
Example: Developer IAM User
Suppose a developer needs access to an AWS account to inspect EC2 instances and view CloudWatch logs.
An administrator might create an IAM user named developer-alex and grant the permissions needed for the developer's work.
Historically, organizations often created individual IAM users for every employee. Modern AWS guidance recommends using IAM Identity Center or federation with temporary credentials for workforce access instead.
How IAM User Authentication Works
Developer
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IAM User
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Password or Access Key
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v
AWS Authentication
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Permission Evaluation
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v
AWS Resource Access
Advantages of IAM Users
- Can provide a separate identity for a person or supported integration.
- Can be assigned specific permissions.
- Can belong to IAM groups.
- Can support programmatic access through access keys.
- May be needed for certain legacy tools or integrations that cannot use federation.
Limitations of IAM Users
- Long-term access keys remain valid until rotated, disabled, or deleted.
- Leaked credentials may be abused until access is revoked or restricted.
- Access key rotation requires operational management.
- Managing large numbers of individual users can become difficult.
- Applications may become dependent on manually stored credentials.
3. What Is an AWS IAM Role?
An IAM role is an AWS identity with a set of permissions that an authorized principal can assume.
Unlike an IAM user, a role does not have standard long-term credentials such as a permanent password or access key attached to it.
When an authorized user, AWS service, or federated identity assumes a role, AWS Security Token Service (AWS STS) provides temporary security credentials for that role session.
These credentials typically contain:
- Access key ID.
- Secret access key.
- Session token.
- Expiration time.
The credentials automatically expire after the session duration. The maximum duration depends on the type of role session and its configuration.
Example: EC2 Instance Accessing an S3 Bucket
Imagine you have a Node.js application running on Amazon EC2. The application needs permission to upload customer documents to an S3 bucket.
Instead of storing an IAM user's access key in an environment file, you can create an IAM role and attach it to the EC2 instance through an instance profile.
The application uses the AWS SDK credential provider chain to obtain temporary credentials automatically.
Node.js Application
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EC2 Instance
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EC2 Instance Profile
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IAM Role
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Temporary Credentials
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Amazon S3 Bucket
The application does not need to manage a permanent access key. AWS provides and refreshes credentials through the supported instance metadata credential mechanism.
Advantages of IAM Roles
- Provide temporary credentials that expire automatically.
- Reduce the need to store long-term access keys.
- Support AWS service-to-service access.
- Support cross-account access.
- Support federated workforce access.
- Allow permissions to be managed centrally.
- Help reduce the impact window of exposed temporary credentials.
Limitations and Considerations
- A role requires a correctly configured trust relationship.
- Role sessions have a defined duration.
- Incorrect trust policies can allow unauthorized principals to assume roles.
- Permissions must be carefully scoped.
- Applications and automation must support temporary credential refresh when required.
4. AWS IAM Roles vs IAM Users: Key Differences
Although IAM users and roles both represent AWS identities, their credential lifecycle and intended use cases are different.
| Comparison | IAM User | IAM Role |
|---|---|---|
| Identity type | IAM identity created in an AWS account | IAM identity that an authorized principal assumes |
| Long-term credentials | Can have a password and access keys | Does not have standard long-term credentials |
| Temporary credentials | Can assume a role to obtain them | Provides temporary credentials when assumed |
| Trust policy | Does not have a role trust policy | Has a trust policy |
| Permissions | Can receive policies directly or through groups | Can have permission policies attached |
| AWS service access | Not the preferred pattern for workloads on AWS | Common pattern for AWS service access |
| Cross-account access | Can be authorized to assume a role in another account | Commonly used to grant cross-account access |
| Credential management | Long-term credentials need lifecycle management | Temporary credentials expire automatically |
| Typical use | Limited legacy or specialized integrations | Applications, services, federation, and delegated access |
Which One Should You Use?
The right choice depends on the identity and workload.
| Scenario | Recommended Approach |
|---|---|
| Developer accessing AWS accounts | IAM Identity Center or federated role access |
| EC2 application accessing S3 | IAM role through an instance profile |
| Lambda function accessing DynamoDB | Lambda execution role |
| ECS application accessing AWS services | ECS task role |
| GitHub Actions deploying to AWS | OIDC federation and IAM role |
| Cross-account AWS access | IAM role with a restricted trust policy |
| Legacy third-party client requiring IAM keys | IAM user only if temporary credentials are unsupported |
5. Long-Term vs Temporary AWS Credentials
Credential management is one of the biggest differences between IAM users and IAM roles.
Long-Term Credentials
IAM user access keys are long-term credentials. They remain usable until an administrator disables, deletes, or otherwise invalidates them.
For example, an application might use the following environment variables:
AWS_ACCESS_KEY_ID=AKIAEXAMPLE
AWS_SECRET_ACCESS_KEY=example-secret-value
This is an illustrative configuration. Never publish real access keys in source code, screenshots, repositories, or public configuration files.
If these credentials are exposed, an attacker may attempt to use them with the permissions assigned to that identity.
Temporary Credentials
Temporary credentials are issued through AWS STS when a principal assumes a role or uses another supported temporary credential mechanism.
They expire automatically after the configured session duration. This reduces the period during which a compromised credential can be used.
Temporary credentials are used by many AWS services and authentication workflows, including EC2 instance roles, Lambda execution roles, ECS task roles, and federated workforce access.
Authorized Principal
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Assume IAM Role
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AWS Security Token Service
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Temporary Credentials
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Access AWS Resources
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Credentials Expire
Why Are Temporary Credentials Better for Workloads?
- They do not require permanent access keys in application code.
- They expire automatically.
- AWS-supported environments can provide and refresh them automatically.
- They support centralized permission management.
- They reduce the risk associated with leaked long-term credentials.
Temporary credentials do not eliminate security risks. If credentials are stolen while active, they can still be misused until they expire or are otherwise invalidated. Therefore, use least-privilege permissions, secure credential handling, and monitoring.
6. Understanding IAM Trust Policies
An IAM role has an important security component called a trust policy.
A trust policy defines which principals are allowed to assume the role and under which conditions.
For example, suppose you create an IAM role for an EC2 application. The trust policy should allow the EC2 service principal to assume the role.
Example: EC2 Trust Policy
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "ec2.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}
Let's understand the important fields:
| Field | Meaning |
|---|---|
| Version | Policy language version. |
| Effect | Specifies whether the statement allows or denies the action. |
| Principal | Identifies the trusted entity. |
| Service | Specifies the AWS service principal. |
| Action | Specifies the action that can be performed on the role. |
In this example, the trust policy allows the EC2 service to assume the role. It does not grant permission to read or write S3 objects.
Cross-Account Role Trust
Trust policies are also important when one AWS account needs access to resources in another account.
For example:
- Account A contains your development team.
- Account B contains production resources.
- A trusted principal in Account A needs limited access to Account B.
You can create a role in Account B that trusts an authorized principal from Account A. The principal also needs permission to call sts:AssumeRole.
For cross-account access, restrict the trusted principal as narrowly as possible. Depending on the integration, use conditions such as external IDs, organization identifiers, or identity-provider claims to strengthen the trust relationship.
7. Understanding IAM Permissions Policies
An IAM permissions policy defines the actions an identity is allowed or denied to perform on AWS resources.
For example, an EC2 application may need permission to upload files to one S3 bucket but should not have access to every bucket in the AWS account.
Example: Allow Uploading Files to a Specific S3 Bucket
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:PutObject"
],
"Resource": "arn:aws:s3:::my-application-files/*"
}
]
}
This policy allows the relevant principal to upload objects to the specified bucket path, subject to other applicable authorization controls.
It does not automatically allow listing the bucket, deleting objects, or reading their contents.
You can attach this permissions policy to an IAM role and then configure the EC2 instance to use that role.
Important IAM Policy Elements
| Element | Description |
|---|---|
| Effect | Allow or Deny. |
| Action | AWS API actions such as s3:PutObject. |
| Resource | The AWS resource to which the statement applies. |
| Condition | Optional conditions that restrict when the statement applies. |
| Principal | Used in resource-based and trust policies to identify who is granted access. |
AWS authorization can involve multiple policy types and controls, including identity-based policies, resource-based policies, permissions boundaries, service control policies, and session policies.
An explicit Deny overrides an Allow when applicable. Therefore, attaching an Allow policy does not guarantee access if another applicable policy explicitly denies the request.
8. Real-World AWS IAM Use Cases
Understanding real-world scenarios makes it easier to decide when to use an IAM role and when an IAM user might still be required.
Use Case 1: EC2 Instance Accessing an S3 Bucket
A backend application running on EC2 needs to upload files to Amazon S3.
Recommended design:
EC2 Application
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EC2 Instance Profile
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IAM Role
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S3 Permissions Policy
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Specific S3 Bucket
This design avoids storing long-term access keys on the EC2 instance.
Use Case 2: Lambda Function Accessing DynamoDB
Suppose a Lambda function processes customer orders and stores information in DynamoDB.
Create a Lambda execution role with only the required DynamoDB actions and table resources.
The Lambda service assumes the role when executing the function. Your application code does not need to contain an IAM user's permanent access keys.
Use Case 3: GitHub Actions Deploying an AWS Application
A CI/CD pipeline may need permission to publish a container image to Amazon ECR and deploy an application.
Instead of saving long-term AWS access keys as GitHub repository secrets, you can configure OpenID Connect (OIDC) federation.
A simplified authentication flow:
GitHub Actions Workflow
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GitHub OIDC Identity Token
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AWS IAM OIDC Provider
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IAM Role Trust Policy
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AWS STS
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Temporary AWS Credentials
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Deploy AWS Application
The role trust policy should validate the expected OIDC provider and restrict access using appropriate conditions for the repository, branch, environment, or other relevant claims.
This approach avoids managing permanent AWS access keys in the CI/CD system.
Use Case 4: Cross-Account Access
Large organizations often use separate AWS accounts for development, testing, staging, and production.
An engineer may need temporary access to a production account without creating another IAM user there.
A cross-account IAM role can provide this access while allowing the organization to control which principals are trusted and what permissions they receive.
Use Case 5: Developer Access Through IAM Identity Center
A development team needs console and CLI access to multiple AWS accounts.
IAM Identity Center can provide centralized workforce access. Administrators assign users or groups to AWS accounts and permission sets. Users authenticate through the configured identity source and obtain temporary access.
This is generally a more manageable approach than creating a separate long-term IAM user for every employee in every account.
9. Practical Implementation: Create an IAM Role for EC2 to Access S3
Let's walk through a practical example. You have an EC2 instance running a Node.js application. The application needs to upload files to one S3 bucket.
We will create an IAM role, attach a restricted S3 policy, and associate the role with an EC2 instance.
Step 1: Create an S3 Permissions Policy
Create a policy named ApplicationS3UploadPolicy.
Use the following JSON policy and replace the bucket name with your actual bucket name:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllowApplicationUploads",
"Effect": "Allow",
"Action": [
"s3:PutObject"
],
"Resource": "arn:aws:s3:::my-application-files/*"
}
]
}
This example grants object upload permission only within the specified bucket. If your application needs other actions, add only those required actions and resources.
Step 2: Create the EC2 Trust Policy
Create a trust policy that allows the EC2 service to assume the role:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "ec2.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}
Step 3: Create the IAM Role
In the AWS Management Console:
- Open the IAM service.
- Select Roles.
- Choose Create role.
- Select AWS service as the trusted entity type.
- Select EC2 as the use case.
- Attach the S3 upload permissions policy.
- Enter a role name such as
EC2S3UploadRole. - Review the trust policy and permissions before creating the role.
Step 4: Attach the Role to an EC2 Instance
Open the EC2 console and select your instance.
- Select the EC2 instance.
- Open Actions.
- Choose Security.
- Select Modify IAM role.
- Choose
EC2S3UploadRole. - Save the changes.
AWS uses an instance profile to make the role available to the EC2 instance.
Step 5: Verify the Role from EC2
Connect to the EC2 instance and execute:
aws sts get-caller-identity
This command returns information about the identity used by the AWS CLI. If the role is configured correctly, the ARN should identify an assumed role session.
You can also check whether the AWS CLI can access the target bucket:
aws s3api put-object \
--bucket my-application-files \
--key test/example.txt \
--body example.txt
This test requires a local file named example.txt. It should succeed only if the role and other applicable authorization controls allow the requested operation.
Step 6: Use the AWS SDK in Node.js
For a Node.js application, use the AWS SDK credential provider chain rather than hardcoding credentials.
Install the S3 SDK package:
npm install @aws-sdk/client-s3
Example application code:
import {
S3Client,
PutObjectCommand
} from "@aws-sdk/client-s3";
const s3 = new S3Client({
region: "us-east-1"
});
async function uploadFile() {
const command = new PutObjectCommand({
Bucket: "my-application-files",
Key: "uploads/example.txt",
Body: "Hello from EC2 using an IAM role!"
});
const response = await s3.send(command);
console.log("Upload completed:", response);
}
uploadFile().catch(console.error);
The SDK uses its default credential provider chain. When the application runs on a properly configured EC2 instance, the SDK can retrieve temporary credentials through the instance metadata service.
You do not need to pass an access key or secret access key in this example.
10. AWS IAM Security Best Practices
IAM configuration directly affects the security of your AWS infrastructure. A poorly configured identity or policy can expose sensitive data, applications, and cloud resources.
Follow these practices when designing IAM access for production environments.
1. Follow the Principle of Least Privilege
Grant identities only the permissions required to complete their tasks.
For example, if an application only needs to upload files to one S3 bucket, do not attach broad administrator permissions or unrestricted S3 access.
Review permissions regularly and remove actions and resources that are no longer required.
2. Prefer Temporary Credentials
Use IAM roles and federation wherever possible. Avoid creating permanent IAM access keys for applications that can use temporary credentials.
For workforce access, consider IAM Identity Center. For AWS workloads, use the appropriate service role, instance profile, or federation mechanism.
3. Enable Multi-Factor Authentication
Require MFA for privileged human access and protect account recovery mechanisms. Prefer phishing-resistant MFA methods, such as passkeys or security keys, where supported.
MFA provides an additional authentication factor beyond a password.
4. Never Hardcode AWS Access Keys
Avoid placing AWS credentials in:
- Application source code.
- Public GitHub repositories.
- Docker images.
- Configuration files committed to version control.
- Frontend JavaScript bundles.
- Unprotected CI/CD variables.
Use roles, federation, or an appropriate secrets-management solution based on your workload.
5. Restrict IAM Role Trust Policies
A role's trust policy determines who can assume it. Avoid broad trust relationships that allow unintended accounts, identities, or external principals to assume privileged roles.
Use explicit trusted principals and suitable conditions. For third-party cross-account access, evaluate external IDs where appropriate.
6. Use IAM Access Analyzer
IAM Access Analyzer helps identify resources and access policies that may allow unintended external access. It can also help validate IAM policies and support policy review workflows.
Review findings regularly and investigate unexpected access paths.
7. Monitor IAM Activity with CloudTrail
AWS CloudTrail records supported account and API activity. It can help security teams investigate who performed an action, when it happened, and which AWS service was involved.
Monitor sensitive IAM operations such as:
- Creating or deleting IAM users and roles.
- Attaching or changing permissions policies.
- Creating, updating, or deleting access keys.
- Changing role trust policies.
- Assuming privileged roles.
8. Review Unused Access Keys and Permissions
For exceptional cases that still require IAM user access keys, review their last-used information and rotate or remove unused credentials.
Do not retain access keys simply because they were created for an old integration.
9. Avoid Using the AWS Root User for Daily Work
The root user has extensive account-level privileges. Protect its credentials, enable MFA, and avoid using it for everyday development or administration.
Use an appropriately privileged administrative identity for routine account management.
10. Separate Production and Non-Production Access
Use separate AWS accounts or appropriately isolated environments for development, testing, and production.
Give developers only the access required for their responsibilities. Production deployment and administrative permissions should be controlled through dedicated roles and approval processes where appropriate.
11. Common AWS IAM Security Mistakes
Even experienced engineers can make IAM configuration mistakes. Here are common issues to watch for.
| Common Mistake | Potential Risk | Better Approach |
|---|---|---|
| Using permanent access keys in EC2 | Credential exposure | Attach an IAM role |
| Granting AdministratorAccess to applications | Excessive privileges | Use least-privilege policies |
| Allowing overly broad role trust | Unauthorized role assumption | Restrict trusted principals and conditions |
| Sharing one IAM user among developers | Poor individual accountability | Use individual workforce identities |
| Ignoring unused access keys | Unnecessary credential exposure | Review and remove unused keys |
| Skipping MFA for privileged access | Increased account compromise risk | Require strong MFA |
| Ignoring CloudTrail events | Reduced visibility into activity | Monitor and investigate sensitive operations |
12. AWS IAM Security Checklist
Use this checklist when reviewing IAM security in a development or production AWS account.
- Use IAM Identity Center or federation for workforce access where possible.
- Use IAM roles for AWS workloads.
- Avoid unnecessary IAM users and long-term access keys.
- Assign individual identities instead of sharing credentials.
- Require MFA for privileged human access.
- Follow the principle of least privilege.
- Review role trust policies.
- Restrict cross-account access.
- Use resource-specific policies where appropriate.
- Review permissions boundaries and organization-level guardrails.
- Enable and review CloudTrail activity.
- Use IAM Access Analyzer.
- Review unused credentials.
- Remove unnecessary identities and permissions.
- Review privileged access regularly.
13. Frequently Asked Questions
1. What is the main difference between an IAM role and an IAM user?
An IAM user is an identity that can have long-term credentials such as a password or access keys. An IAM role is an identity that an authorized principal assumes to receive temporary credentials. Roles are commonly used for AWS services, applications, federated access, and cross-account access.
2. Are IAM roles more secure than IAM users?
Roles support temporary credentials, which reduce the risks associated with long-lived access keys. However, security depends on the trust policy, permissions, session controls, and how the credentials are handled. A poorly configured role can still create serious security problems.
3. Can an IAM user assume an IAM role?
Yes. An IAM user can assume a role if the role's trust policy trusts that user or its account as appropriate, and the user has permission to perform sts:AssumeRole. Other applicable authorization controls must also allow the request.
4. Can an EC2 instance use an IAM role?
Yes. You can attach an IAM role to an EC2 instance through an instance profile. Applications running on that instance can use the supported credential provider mechanism to obtain temporary credentials.
5. What is the difference between a trust policy and a permissions policy?
A trust policy defines which principals can assume an IAM role. A permissions policy defines what actions the resulting role session can perform on AWS resources. Both are important when configuring an IAM role.
6. Should I create IAM users for every developer?
For most workforce access, AWS recommends centralized access through IAM Identity Center or federation with an identity provider. This provides individual access management and temporary credentials without requiring a separate long-term IAM user for each employee.
7. Can an IAM role have access keys?
An IAM role does not have standard permanent access keys attached to it. When an authorized principal assumes the role, AWS STS provides temporary credentials for the session.
8. What is AWS STS?
AWS Security Token Service (STS) enables you to request temporary security credentials for supported access workflows. The AssumeRole API is commonly used to obtain temporary credentials for an IAM role.
9. Should I use IAM roles in GitHub Actions?
Where supported, OIDC federation with an IAM role is a useful approach. It avoids storing permanent AWS access keys in GitHub secrets. Restrict the role trust policy to the expected repository, branch, or environment.
10. What happens when temporary role credentials expire?
Requests signed with expired credentials are rejected. Applications and tools that support credential refresh can obtain new credentials through their configured provider mechanism. Applications using manually copied temporary credentials may need to obtain a new session.
Conclusion: Use IAM Roles and Temporary Credentials Wherever Possible
Understanding AWS IAM roles vs IAM users is essential for building secure cloud infrastructure. Both are IAM identities, but they serve different authentication and access-management needs.
IAM users can still be required for certain legacy integrations and specialized scenarios. However, for most AWS workloads and workforce access, roles and temporary credentials offer a more manageable security model.
Whether you are building a Node.js application on EC2, deploying through GitHub Actions, running Lambda functions, or managing multiple AWS accounts, use narrowly scoped permissions and carefully controlled trust relationships.
Good IAM security is not just about creating identities. It is about continuously reviewing who can access your resources, what they can do, and how that access is granted.
Official AWS Documentation and Further Reading
For detailed configuration instructions and the latest security guidance, refer to the official AWS documentation:
- AWS Identity and Access Management – Introduction to IAM concepts and access management.
- IAM Roles – Learn how roles and temporary credentials work.
- IAM Users – Understand IAM user identities and credentials.
- IAM Security Best Practices – AWS recommendations for securing identities and permissions.
- IAM Roles for EC2 – Configure roles for applications running on EC2.
- AWS STS AssumeRole API – Understand role assumption and temporary credentials.
- IAM Access Analyzer – Analyze and validate access policies.
- AWS IAM Identity Center – Centralized workforce access management.
- IAM Roles for OIDC Federation – Configure federated access using OpenID Connect.
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