| name | SI-19(1)_collection |
| description | De-identify the dataset upon collection by not collecting personally identifiable information. |
| category | input-validation |
| version | 5.2.0 |
| author | cyberstrike-official |
| tags | ["nist","sp800-53","rev5","si-19-1","si","enhancement"] |
| tech_stack | ["aws","azure","gcp","linux","windows"] |
| cwe_ids | ["CWE-20"] |
| chains_with | [] |
| prerequisites | ["SI-19"] |
| severity_boost | {} |
SI-19(1) Collection
Enhancement of: SI-19
High-Level Description
Family: System and Information Integrity (SI)
Framework: NIST SP 800-53 Rev 5
If a data source contains personally identifiable information but the information will not be used, the dataset can be de-identified when it is created by not collecting the data elements that contain the personally identifiable information. For example, if an organization does not intend to use the social security number of an applicant, then application forms do not ask for a social security number.
What to Check
How to Test
Step 1: Review Documentation
Examine the System Security Plan (SSP) and related artifacts for SI-19(1) 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 integrity monitoring | cloud_audit_monitoring |
| AWS CLI | Review GuardDuty/Inspector | aws guardduty list-detectors |
Remediation Guide
Control Statement
De-identify the dataset upon collection by not collecting personally identifiable information.
Implementation Guidance
If a data source contains personally identifiable information but the information will not be used, the dataset can be de-identified when it is created by not collecting the data elements that contain the personally identifiable information. For example, if an organization does not intend to use the social security number of an applicant, then application forms do not ask for a social security number.
