| name | CM-3(3)_automated-change-implementation |
| description | Implement changes to the current system baseline and deploy the updated baseline across the installed base using [organization-defined]. |
| category | configuration |
| version | 5.2.0 |
| author | cyberstrike-official |
| tags | ["nist","sp800-53","rev5","cm-3-3","cm","enhancement"] |
| tech_stack | ["aws","azure","gcp","linux","windows"] |
| cwe_ids | ["CWE-16"] |
| chains_with | [] |
| prerequisites | ["CM-3"] |
| severity_boost | {} |
CM-3(3) Automated Change Implementation
Enhancement of: CM-3
High-Level Description
Family: Configuration Management (CM)
Framework: NIST SP 800-53 Rev 5
Automated tools can improve the accuracy, consistency, and availability of configuration baseline information. Automation can also provide data aggregation and data correlation capabilities, alerting mechanisms, and dashboards to support risk-based decision-making within the organization.
What to Check
How to Test
Step 1: Review Documentation
Examine the System Security Plan (SSP) and related artifacts for CM-3(3) implementation details. Verify the organization has documented how this control is satisfied.
Step 2: Validate Implementation
# For cloud environments, use cloud-audit-mcp tools
# For on-premises, review system configurations directly
# Example: Check if account management policies exist
grep -r "account.management\|access.control" /etc/security/ 2>/dev/null
Step 3: Test Operating Effectiveness
Verify the control is actively functioning, not just documented. Check logs, configurations, and operational evidence.
Tools
| Tool | Purpose | Usage |
|---|
| cloud-audit-mcp | Check configuration baselines | cloud_audit_config |
| AWS CLI | Review Config rules | aws configservice describe-config-rules |
Remediation Guide
Control Statement
Implement changes to the current system baseline and deploy the updated baseline across the installed base using [organization-defined].
Implementation Guidance
Automated tools can improve the accuracy, consistency, and availability of configuration baseline information. Automation can also provide data aggregation and data correlation capabilities, alerting mechanisms, and dashboards to support risk-based decision-making within the organization.