What this control covers

Ensures data subjects can request prompt rectification of inaccurate personal data and completion of incomplete data, including via supplementary statements. This control addresses Data Subject Rights.

Why it matters

Risk is the language an executive team understands; this control connects technical reality to board-level decisions and budget allocation.

How to implement

AWS

Codify the policy intent as SCPs, AWS Config conformance packs, and Security Hub standards so the cloud enforces what the document says.

Azure

Codify in Azure Policy initiatives (built-in regulatory compliance for CIS, ISO 27001, SOC 2, HIPAA) and assign at management-group level.

GCP

Org Policy Service for guardrails and Config Validator in CI to pre-check Terraform plans against policy as code (Rego).

Google Workspace

Use Data Export (Takeout-style) and Vault search to scope DSARs. Apply Drive labels + DLP so personal data classes are discoverable.

GitHub

Subscribe to secret-scanning alerts and Dependabot security advisories; require triage SLAs by severity. For exposed secrets, rotate at the cloud provider FIRST then revoke at GitHub — order matters.

On-premises

Maintain a policy library with a documented review cadence (annual minimum); store in your GRC tool with attestation tracking. Map each policy to controls so an audit pull cites the exact policy clause.

Evidence to collect

  • ticketing_workflow — See the iCompaas Evidence library for the canonical source for this evidence type.
  • infra_scan — See the iCompaas Evidence library for the canonical source for this evidence type.

Workflow metrics (ServiceNow, Jira) show approvals and remediation. Focus: Right to rectification.

Quick checklist

  • Right — Rectification / Supplementary Statements
  • Data — Rectification / Supplementary Statements

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