Gartner Research

Build Once, Use Many Times: Use Privacy Engineering to Support a Data-Centric Security Architecture

Published: 11 September 2019

Summary

The Organisation for Economic Co-operation and Development schema of eight privacy protection goals addresses common areas of privacy found in legislation. Security and risk management technical professionals can use these as a basis for compliance with CCPA, GDPR and other privacy regulations.

Included in Full Research

  • Privacy Engineering
  • Mapping the OECD8 to Technical Controls and Selected GDPR and CCPA Requirements
  • Collection Limitation Principle
    • Consent Management
    • Prevent Data Linkage and Inference of Personal Data
  • Data Quality Principle
  • Purpose Specification Principle
  • Use Limitation Principle
    • Pseudonymization and Anonymization (Data Masking)
    • Data Life Cycle Management
    • Data Activity Monitoring
    • Data Access Governance
  • Security Safeguards Principle
    • Data Protection by Design and by Default
    • Breach Notification
    • Exceptional Controls for International Data Transfers
  • Openness Principle
    • Data Mapping: Records of Processing Activities
    • Data Discovery and Classification
  • Individual Participation Principle
    • Right to Access
    • Ability to Erase Personal Data
    • Data Portability
  • Accountability Principle
    • Data Protection Impact Assessment
    • Continuous Compliance
  • Key Terms Used in Privacy Frameworks
    • Controller
    • Data Subject
    • Data Protection Officer
    • Data Processor
    • Privacy Notice

Analysts:

Joerg Fritsch,  Mike Wonham

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