Data Protection Principles

Overview

Understanding how to properly classify, handle, and protect data is fundamental to cloud security and compliance.

View Diagram: Data Classification Pyramid

Data Classification Pyramid Figure: Data classification levels from Restricted (highest protection) to Public (basic controls)

Data Classification Framework

Classification Levels

  • Public: No harm if disclosed (marketing materials)
  • Internal: For internal use only (policies, procedures)
  • Confidential: Could cause harm if disclosed (financial data)
  • Restricted: Severe damage if disclosed (personal data, secrets)

Data Handling Requirements

Each classification level requires specific handling procedures, access controls, and protection measures.

Data Protection Methods

Encryption

  • At Rest: Protects stored data
  • In Transit: Protects data during transmission
  • In Use: Protects data during processing

Access Controls

  • Role-based access control (RBAC)
  • Attribute-based access control (ABAC)
  • Just-in-time access for privileged operations

Data Loss Prevention (DLP)

  • Monitor data movement
  • Prevent unauthorized disclosure
  • Alert on policy violations

Privacy Principles

Data Minimization

Collect and process only necessary data for specific purposes.

Purpose Limitation

Use data only for stated, legitimate purposes.

Storage Limitation

Retain data only as long as necessary.

Next Steps

Continue to Compliance Frameworks to understand regulatory requirements.

Last Updated: November 2025