implementing-aws-config-rules-for-compliance▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts.
| name | implementing-aws-config-rules-for-compliance |
| description | 'Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts. ' |
| domain | cybersecurity |
| subdomain | cloud-security |
| tags | - cloud-security - aws - config-rules - compliance - automation - remediation |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01 |
Implementing AWS Config Rules for Compliance
When to Use
- When establishing continuous compliance monitoring for AWS resources against regulatory standards
- When implementing automated detection and remediation of configuration drift
- When building a compliance dashboard across multiple AWS accounts using AWS Organizations
- When audit teams require evidence of continuous compliance rather than point-in-time assessments
- When deploying guardrails that detect non-compliant resources within minutes of creation
Do not use for real-time threat detection (use GuardDuty), for application vulnerability scanning (use Inspector), or for one-time compliance assessments (use Prowler for faster ad-hoc audits).
Prerequisites
- AWS Config recording enabled in all target accounts and regions
- IAM role with
config:*,ssm:*, andlambda:*permissions for rule management - AWS Organizations with delegated administrator for Config aggregation
- S3 bucket for Config delivery channel and SNS topic for notifications
- CloudFormation StackSets or Terraform for multi-account rule deployment
Workflow
Step 1: Enable AWS Config Recording
Set up the Config recorder and delivery channel in each target account.
# Create S3 bucket for Config data
aws s3api create-bucket \
--bucket config-compliance-data-ACCOUNT_ID \
--region us-east-1
# Create Config service role
aws iam create-service-linked-role --aws-service-name config.amazonaws.com
# Start the Config recorder
aws configservice put-configuration-recorder \
--configuration-recorder name=default,roleARN=arn:aws:iam::ACCOUNT:role/aws-service-role/config.amazonaws.com/AWSServiceRoleForConfig \
--recording-group allSupported=true,includeGlobalResourceTypes=true
# Set up delivery channel
aws configservice put-delivery-channel \
--delivery-channel '{
"name": "default",
"s3BucketName": "config-compliance-data-ACCOUNT_ID",
"snsTopicARN": "arn:aws:sns:us-east-1:ACCOUNT:config-notifications",
"configSnapshotDeliveryProperties": {"deliveryFrequency": "TwentyFour_Hours"}
}'
# Start recording
aws configservice start-configuration-recorder --configuration-recorder-name default
Step 2: Deploy Managed Config Rules for CIS Compliance
Enable AWS-managed Config rules that map to CIS AWS Foundations Benchmark controls.
# S3 bucket security rules
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "s3-bucket-public-read-prohibited",
"Source": {"Owner": "AWS", "SourceIdentifier": "S3_BUCKET_PUBLIC_READ_PROHIBITED"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "s3-bucket-server-side-encryption-enabled",
"Source": {"Owner": "AWS", "SourceIdentifier": "S3_BUCKET_SERVER_SIDE_ENCRYPTION_ENABLED"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "s3-bucket-ssl-requests-only",
"Source": {"Owner": "AWS", "SourceIdentifier": "S3_BUCKET_SSL_REQUESTS_ONLY"}
}'
# IAM security rules
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "iam-root-access-key-check",
"Source": {"Owner": "AWS", "SourceIdentifier": "IAM_ROOT_ACCESS_KEY_CHECK"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "mfa-enabled-for-iam-console-access",
"Source": {"Owner": "AWS", "SourceIdentifier": "MFA_ENABLED_FOR_IAM_CONSOLE_ACCESS"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "iam-password-policy",
"Source": {"Owner": "AWS", "SourceIdentifier": "IAM_PASSWORD_POLICY"},
"InputParameters": "{\"RequireUppercaseCharacters\":\"true\",\"RequireLowercaseCharacters\":\"true\",\"RequireSymbols\":\"true\",\"RequireNumbers\":\"true\",\"MinimumPasswordLength\":\"14\"}"
}'
# Network security rules
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "restricted-ssh",
"Source": {"Owner": "AWS", "SourceIdentifier": "INCOMING_SSH_DISABLED"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "vpc-flow-logs-enabled",
"Source": {"Owner": "AWS", "SourceIdentifier": "VPC_FLOW_LOGS_ENABLED"}
}'
# Encryption rules
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "rds-storage-encrypted",
"Source": {"Owner": "AWS", "SourceIdentifier": "RDS_STORAGE_ENCRYPTED"}
}'
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "encrypted-volumes",
"Source": {"Owner": "AWS", "SourceIdentifier": "ENCRYPTED_VOLUMES"}
}'
Step 3: Create Custom Config Rules with Lambda
Build custom rules for organization-specific compliance requirements.
# custom_config_rule.py - Ensure EC2 instances have required tags
import json
import boto3
config = boto3.client('config')
REQUIRED_TAGS = ['Environment', 'Owner', 'CostCenter', 'Project']
def lambda_handler(event, context):
invoking_event = json.loads(event['invokingEvent'])
configuration_item = invoking_event.get('configurationItem', {})
if configuration_item['resourceType'] != 'AWS::EC2::Instance':
return
tags = {t['key']: t['value'] for t in configuration_item.get('tags', [])}
missing_tags = [tag for tag in REQUIRED_TAGS if tag not in tags]
if missing_tags:
compliance = 'NON_COMPLIANT'
annotation = f"Missing required tags: {', '.join(missing_tags)}"
else:
compliance = 'COMPLIANT'
annotation = 'All required tags present'
config.put_evaluations(
Evaluations=[{
'ComplianceResourceType': configuration_item['resourceType'],
'ComplianceResourceId': configuration_item['resourceId'],
'ComplianceType': compliance,
'Annotation': annotation,
'OrderingTimestamp': configuration_item['configurationItemCaptureTime']
}],
ResultToken=event['resultToken']
)
# Deploy the custom rule
aws configservice put-config-rule --config-rule '{
"ConfigRuleName": "ec2-required-tags",
"Source": {
"Owner": "CUSTOM_LAMBDA",
"SourceIdentifier": "arn:aws:lambda:us-east-1:ACCOUNT:function:config-required-tags",
"SourceDetails": [{
"EventSource": "aws.config",
"MessageType": "ConfigurationItemChangeNotification"
}]
},
"Scope": {"ComplianceResourceTypes": ["AWS::EC2::Instance"]}
}'
Step 4: Configure Automatic Remediation
Set up SSM Automation documents for automatic remediation of non-compliant resources.
# Auto-remediate public S3 buckets
aws configservice put-remediation-configurations --remediation-configurations '[{
"ConfigRuleName": "s3-bucket-public-read-prohibited",
"TargetType": "SSM_DOCUMENT",
"TargetId": "AWS-DisableS3BucketPublicReadWrite",
"Parameters": {
"S3BucketName": {"ResourceValue": {"Value": "RESOURCE_ID"}},
"AutomationAssumeRole": {"StaticValue": {"Values": ["arn:aws:iam::ACCOUNT:role/ConfigRemediationRole"]}}
},
"Automatic": true,
"MaximumAutomaticAttempts": 3,
"RetryAttemptSeconds": 60
}]'
# Auto-remediate unencrypted EBS volumes
aws configservice put-remediation-configurations --remediation-configurations '[{
"ConfigRuleName": "encrypted-volumes",
"TargetType": "SSM_DOCUMENT",
"TargetId": "AWS-EnableEBSEncryptionByDefault",
"Parameters": {
"AutomationAssumeRole": {"StaticValue": {"Values": ["arn:aws:iam::ACCOUNT:role/ConfigRemediationRole"]}}
},
"Automatic": true,
"MaximumAutomaticAttempts": 1,
"RetryAttemptSeconds": 300
}]'
# Auto-remediate security groups allowing SSH from 0.0.0.0/0
aws configservice put-remediation-configurations --remediation-configurations '[{
"ConfigRuleName": "restricted-ssh",
"TargetType": "SSM_DOCUMENT",
"TargetId": "AWS-DisablePublicAccessForSecurityGroup",
"Parameters": {
"GroupId": {"ResourceValue": {"Value": "RESOURCE_ID"}},
"AutomationAssumeRole": {"StaticValue": {"Values": ["arn:aws:iam::ACCOUNT:role/ConfigRemediationRole"]}}
},
"Automatic": true,
"MaximumAutomaticAttempts": 3,
"RetryAttemptSeconds": 60
}]'
Step 5: Set Up Multi-Account Aggregation
Aggregate compliance data from all organization accounts into a central view.
# Create a Config aggregator for the organization
aws configservice put-configuration-aggregator \
--configuration-aggregator-name org-compliance-aggregator \
--organization-aggregation-source '{
"RoleArn": "arn:aws:iam::ACCOUNT:role/ConfigAggregatorRole",
"AllAwsRegions": true
}'
# Query aggregate compliance across all accounts
aws configservice get-aggregate-compliance-details-by-config-rule \
--configuration-aggregator-name org-compliance-aggregator \
--config-rule-name s3-bucket-public-read-prohibited \
--compliance-type NON_COMPLIANT \
--query 'AggregateEvaluationResults[*].[AccountId,AwsRegion,EvaluationResultIdentifier.EvaluationResultQualifier.ResourceId,ComplianceType]' \
--output table
# Get compliance summary by account
aws configservice get-aggregate-compliance-summary-by-source \
--configuration-aggregator-name org-compliance-aggregator \
--query 'AggregateComplianceCounts[*].[GroupName,ComplianceSummary.CompliantResourceCount.CappedCount,ComplianceSummary.NonCompliantResourceCount.CappedCount]' \
--output table
Key Concepts
| Term | Definition |
|---|---|
| AWS Config Rule | A compliance check that evaluates whether AWS resource configurations meet specified requirements, either continuously or on a schedule |
| Managed Rule | AWS-provided pre-built Config rule with standardized logic for common compliance checks like encryption and public access |
| Custom Rule | Organization-specific Config rule backed by a Lambda function that evaluates custom compliance logic |
| Remediation Action | SSM Automation document or Lambda function triggered to automatically fix non-compliant resources |
| Configuration Aggregator | AWS Config feature that collects compliance data from multiple accounts and regions into a centralized view |
| Conformance Pack | Collection of Config rules and remediation actions packaged as a deployable unit for specific compliance frameworks |
Tools & Systems
- AWS Config: Continuous configuration recording and compliance evaluation service for AWS resources
- SSM Automation: AWS Systems Manager documents for executing automated remediation actions on non-compliant resources
- Config Conformance Packs: Pre-built rule collections for CIS, PCI DSS, NIST 800-53, and HIPAA compliance
- CloudFormation StackSets: Multi-account deployment mechanism for Config rules across AWS Organizations
- Config Aggregator: Cross-account and cross-region compliance data consolidation
Common Scenarios
Scenario: Deploying CIS Compliance Monitoring Across 30 AWS Accounts
Context: A financial services company needs to demonstrate continuous CIS AWS Foundations Benchmark compliance across all 30 production accounts for their annual SOC 2 audit.
Approach:
- Enable AWS Config recording in all accounts via CloudFormation StackSets
- Deploy the CIS conformance pack to all accounts using StackSets
- Set up a Config aggregator in the security account for organization-wide visibility
- Configure auto-remediation for safe-to-fix rules (public S3, unencrypted volumes)
- Create EventBridge rules to alert on new NON_COMPLIANT evaluations
- Build a weekly compliance report aggregating scores across all accounts
- Store Config snapshots in S3 with lifecycle policies for audit retention
Pitfalls: Config recording incurs costs per configuration item recorded. In accounts with many resources, costs can be significant. Use targeted recording groups to focus on compliance-relevant resource types rather than recording all resources. Auto-remediation of network rules (security groups) can disrupt applications if the rule was intentionally permissive.
Output Format
AWS Config Compliance Report
===============================
Organization: Acme Financial (30 accounts)
Framework: CIS AWS Foundations 1.4
Report Date: 2026-02-23
Config Rules Active: 48
COMPLIANCE SUMMARY:
Overall Compliance: 87%
Compliant Resources: 4,234
Non-Compliant Resources: 612
Not Applicable: 189
TOP NON-COMPLIANT RULES:
encrypted-volumes: 89 resources (14 accounts)
vpc-flow-logs-enabled: 67 resources (12 accounts)
mfa-enabled-for-iam-console: 45 resources (8 accounts)
s3-bucket-ssl-requests-only: 34 resources (6 accounts)
restricted-ssh: 28 resources (5 accounts)
AUTO-REMEDIATION (Last 30 Days):
Public S3 buckets remediated: 12
Security groups restricted: 8
EBS default encryption enabled: 6
Total auto-remediated: 26
Failed remediation attempts: 3
ACCOUNT COMPLIANCE RANKING:
1. prod-core (account-001): 96% compliant
2. prod-data (account-002): 94% compliant
...
30. dev-sandbox (account-030): 68% compliant
How to use implementing-aws-config-rules-for-compliance on Cursor
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Prerequisites
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- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add implementing-aws-config-rules-for-compliance
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches implementing-aws-config-rules-for-compliance from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
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Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate implementing-aws-config-rules-for-compliance. Access the skill through slash commands (e.g., /implementing-aws-config-rules-for-compliance) or your agent's skill management interface.
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Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
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- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Ratings
4.5★★★★★35 reviews- ★★★★★Shikha Mishra· Dec 8, 2024
Keeps context tight: implementing-aws-config-rules-for-compliance is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Rahul Santra· Nov 27, 2024
implementing-aws-config-rules-for-compliance has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Gonzalez· Nov 19, 2024
implementing-aws-config-rules-for-compliance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noor Okafor· Nov 11, 2024
We added implementing-aws-config-rules-for-compliance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Oct 18, 2024
Solid pick for teams standardizing on skills: implementing-aws-config-rules-for-compliance is focused, and the summary matches what you get after install.
- ★★★★★Aarav Martinez· Oct 10, 2024
We added implementing-aws-config-rules-for-compliance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Emma Gupta· Oct 2, 2024
implementing-aws-config-rules-for-compliance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aanya Sanchez· Sep 25, 2024
Registry listing for implementing-aws-config-rules-for-compliance matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Soo Li· Sep 21, 2024
Keeps context tight: implementing-aws-config-rules-for-compliance is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aditi Okafor· Sep 13, 2024
Solid pick for teams standardizing on skills: implementing-aws-config-rules-for-compliance is focused, and the summary matches what you get after install.
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