What this control covers

Train workforce members on how to identify and properly store, transfer, archive, and destroy sensitive data. This also includes training workforce members on clear screen and desk best practices, such as locking their screen when they step away from their enterprise asset, erasing physical and virtual whiteboards at the end of meetings, and storing data and assets securely.

Why it matters

Most successful attacks involve a human; training closes the gap technical controls cannot.

How to implement

AWS

Manage all changes in Terraform/CloudFormation; enforce SCPs that deny console writes for prod. Use AWS Config rules + conformance packs (CIS, HIPAA, PCI) to detect drift.

Azure

Azure Policy + Blueprints baseline landing zones; Bicep/Terraform as IaC and Policy Insights for drift.

GCP

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

On-premises

Roll out role-based security awareness annually + phishing simulations quarterly. Track completion in your LMS and tie to performance review for repeat-fails.

Evidence to collect

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

Infrastructure posture tooling (AWS Config, Azure Policy, Nessus) verifies platform hardening. Focus: Train Workforce on Data Handling Best Practices.

Quick checklist

  • Securely — Network / Sensitive
  • Protect — Network / Sensitive
  • Train — Network / Sensitive

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