Hardens AWS IAM configurations to enforce least-privilege access, covering IAM policy scoping, permission boundaries, IAM Access Analyzer integration, and credential rotation strategies. Use when reducing the blast radius of compromised AWS identities, auditing overly permissive IAM policies, or setting up permission boundaries and Access Analyzer findings review across cloud accounts.
Hardens AWS IAM configurations to enforce least-privilege access, covering IAM policy scoping, permission boundaries, IAM Access Analyzer integration, and credential rotation strategies. Use when reducing the blast radius of compromised AWS identities, auditing overly permissive IAM policies, or setting up permission boundaries and Access Analyzer findings review across cloud accounts.
When onboarding new AWS accounts or workloads that require scoped IAM policies
When IAM Access Analyzer reports overly permissive policies or unused permissions
When preparing for a compliance audit requiring least privilege evidence (SOC 2, PCI-DSS)
When migrating from long-lived access keys to short-lived role-based credentials
When remediating findings from AWS Security Hub related to IAM misconfigurations
Do not use for Azure AD or Google Cloud IAM configurations, application-level authorization logic, or federated identity provider setup (see managing-cloud-identity-with-okta).
Prerequisites
AWS account with administrative access or IAM:FullAccess permissions
AWS CLI v2 installed and configured with named profiles
AWS CloudTrail enabled for at least 90 days of API activity history
Familiarity with JSON-based IAM policy syntax and ARN resource notation
Workflow
Step 1: Inventory Existing IAM Entities and Policies
Generate a comprehensive inventory of all IAM users, roles, groups, and attached policies using the AWS CLI and IAM credential reports. Identify accounts with console access, programmatic access keys, and their last-used timestamps.
# Generate IAM credential report
aws iam generate-credential-report
aws iam get-credential-report --query 'Content' --output text | base64 -d > iam-report.csv
# List all IAM roles and their attached policies
aws iam list-roles --query 'Roles[*].[RoleName,Arn,CreateDate]' --output table
# Find users with access keys older than 90 days
aws iam list-users --query 'Users[*].UserName' --output text | whileread user; do
aws iam list-access-keys --user-name "$user" \
--query "AccessKeyMetadata[?CreateDate<='$(date -d '-90 days' +%Y-%m-%d)'].[UserName,AccessKeyId,Status,CreateDate]" \
--output table
done
Step 2: Enable and Analyze IAM Access Analyzer Findings
Activate IAM Access Analyzer at the organization or account level to identify resources shared externally and generate least-privilege policy recommendations based on CloudTrail activity.
# Create an Access Analyzer for the account
aws accessanalyzer create-analyzer \
--analyzer-name account-analyzer \
--type ACCOUNT
# List active findings for external access
aws accessanalyzer list-findings \
--analyzer-arn arn:aws:access-analyzer:us-east-1:123456789012:analyzer/account-analyzer \
--filter '{"status": {"eq": ["ACTIVE"]}}'# Generate a policy based on CloudTrail activity for a specific role
aws accessanalyzer start-policy-generation \
--policy-generation-details '{
"principalArn": "arn:aws:iam::123456789012:role/AppRole",
"cloudTrailDetails": {
"trailArn": "arn:aws:cloudtrail:us-east-1:123456789012:trail/management-trail",
"startTime": "2025-01-01T00:00:00Z",
"endTime": "2025-03-01T00:00:00Z"
}
}'
Step 3: Scope Policies to Specific Resources and Conditions
Replace wildcard resource ARNs with specific resource identifiers. Add IAM policy conditions for MFA enforcement, source IP restrictions, and time-based access windows.
Attach permission boundaries to IAM roles and users to define the maximum scope of permissions an entity can receive, preventing privilege escalation even if an administrator attaches an overly permissive policy.
# Create a permission boundary policy
aws iam create-policy \
--policy-name DeveloperPermissionBoundary \
--policy-document file://developer-boundary.json
# Attach the boundary to an IAM role
aws iam put-role-permissions-boundary \
--role-name DeveloperRole \
--permissions-boundary "arn:aws:iam::123456789012:policy/DeveloperPermissionBoundary"
Step 5: Enforce MFA and Eliminate Long-Lived Credentials
Require MFA for all human users accessing the AWS console and CLI. Migrate workloads from IAM user access keys to IAM roles with temporary credentials via STS AssumeRole.
Deploy AWS Config rules and Security Hub controls to continuously evaluate IAM posture. Set up EventBridge rules to alert on high-risk IAM changes such as new root access key creation or policy modifications.
Granting only the minimum permissions required for an identity to perform its function
Permission Boundary
An advanced IAM feature that sets the maximum permissions an entity can have, regardless of attached policies
IAM Access Analyzer
AWS service that uses automated reasoning to identify resources shared externally and generate least-privilege policies from CloudTrail activity
Service Control Policy (SCP)
Organization-level policy that sets permission guardrails across all accounts in an AWS Organization
Assume Role
STS operation that returns temporary security credentials for cross-account or service-to-service access
Credential Report
AWS-generated CSV listing all IAM users, their access keys, MFA status, and last activity timestamps
Policy Condition
Constraints in IAM policies that restrict when and how permissions apply, such as MFA requirements or IP ranges
Identity Federation
Allowing external identity providers to grant temporary AWS access without creating IAM users
Tools & Systems
AWS IAM Access Analyzer: Generates least-privilege policies from CloudTrail activity and identifies resources shared with external entities
AWS Config: Continuously evaluates IAM configuration compliance against managed and custom rules
AWS Security Hub: Aggregates IAM security findings from Access Analyzer, Config, and third-party tools into a unified dashboard
IAM Policy Simulator: Tests the effects of IAM policies before deployment by simulating API calls against policy evaluation logic
Prowler: Open-source AWS security assessment tool that runs over 300 checks including IAM best practices and CIS benchmark controls
Common Scenarios
Scenario: Developer Role Over-Provisioned with AdministratorAccess
Context: A startup attached the AWS-managed AdministratorAccess policy to all developer roles for speed during early development. A security audit reveals 15 roles with full account access while developers only use S3, Lambda, and DynamoDB.
Approach:
Enable IAM Access Analyzer and generate policy recommendations based on 90 days of CloudTrail data for each role
Create scoped policies allowing only the specific S3 buckets, Lambda functions, and DynamoDB tables each team accesses
Attach a permission boundary denying IAM, Organizations, and billing actions
Deploy the new policies in a parallel role with CloudTrail monitoring before replacing the original
Remove AdministratorAccess and rotate all access keys
Pitfalls: Replacing policies without a parallel testing period causes service disruptions. Forgetting to scope Lambda:InvokeFunction to specific function ARNs leaves lateral movement paths open.
Scenario: Rotating Compromised Access Keys Across Multiple Services
Context: An access key is found in a public GitHub repository. The key belongs to an IAM user with S3 and EC2 permissions across three AWS accounts.
Approach:
Immediately deactivate the compromised key using aws iam update-access-key --status Inactive
Review CloudTrail logs for all API calls made with the compromised key in the past 30 days
Create a new access key for the user and update all dependent services and CI/CD pipelines
Delete the compromised key after confirming all services use the new credentials
Migrate the workload to use IAM roles with STS temporary credentials to prevent future key exposure
Pitfalls: Deleting the key before deactivating it prevents forensic analysis of which services relied on it. Failing to check all three accounts for unauthorized activity leaves potential backdoors undetected.
Output Format
IAM Security Assessment Report
==============================
Account ID: 123456789012
Assessment Date: 2025-02-23
Analyzer: IAM Access Analyzer + Prowler v4.3
CRITICAL FINDINGS:
[C-001] Root account has active access keys
- Resource: arn:aws:iam::123456789012:root
- Remediation: Delete root access keys, enable MFA on root
- CIS Benchmark: 1.4 (Ensure no root account access key exists)
[C-002] IAM user 'deploy-bot' has AdministratorAccess with no MFA
- Resource: arn:aws:iam::123456789012:user/deploy-bot
- Last Activity: 2025-02-20
- Remediation: Replace with IAM role, enforce MFA condition
HIGH FINDINGS:
[H-001] 3 IAM policies use wildcard Resource "*" with sensitive actions
- Policies: DevPolicy, CIPolicy, LegacyAdminPolicy
- Remediation: Scope resources to specific ARNs using Access Analyzer
[H-002] 7 access keys older than 90 days detected
- Users: svc-backup, svc-monitoring, dev-alice, dev-bob, ...
- Remediation: Rotate keys, migrate to role-based access
SUMMARY:
Total Findings: 14
Critical: 2 | High: 4 | Medium: 5 | Low: 3
Compliance Score: 62% (CIS AWS Foundations Benchmark v3.0)
