PrivacyEuropean Union (ENISA)
ENISA Data Protection Engineering - From Theory to Practice
ENISA's primary report on the practical engineering of data protection (the umbrella PET / privacy-enhancing-technology document for the EU). 'Data Protection Engineering - From Theory to Practice' (January 2022) sets the connection from Data Protection by Design (GDPR Art.25) to engineering practice via the DPIA process, and surveys the main PETs and their applicability to data protection principles: anonymisation and pseudonymisation, differential privacy, homomorphic encryption, secure multiparty computation, trusted execution environments, private information retrieval, synthetic data, end-to-end encryption, proxy/onion routing, privacy-preserving storage, attribute-based credentials, zero-knowledge proofs, privacy policies/icons/sticky policies, privacy preference signals, privacy dashboards, consent management, and mechanisms for exercising data subject rights of access, erasure and rectification.
Domains
ENISA DPE - Access, Communication and Storage
ENISA DPE - Anonymisation and Pseudonymisation
ENISA DPE - Privacy-Preserving Computation
ENISA DPE - Introduction and Data Protection by Design
ENISA DPE - Transparency, Intervenability and User Control
Compare ENISA Data Protection Engineering - From Theory to Practice
ENISA Data Protection Engineering - From Theory to Practice vs ISO 27001:2022View comparison →ENISA Data Protection Engineering - From Theory to Practice vs SOC 2View comparison →ENISA Data Protection Engineering - From Theory to Practice vs NIST CSF 2.0View comparison →ENISA Data Protection Engineering - From Theory to Practice vs GDPRView comparison →ENISA Data Protection Engineering - From Theory to Practice vs HIPAAView comparison →ENISA Data Protection Engineering - From Theory to Practice vs PCI DSS 4.0View comparison →
ENISA Data Protection Engineering - From Theory to Practice by Industry
ENISA Data Protection Engineering - From Theory to Practice for Healthcare→ENISA Data Protection Engineering - From Theory to Practice for Financial Services→ENISA Data Protection Engineering - From Theory to Practice for Technology→ENISA Data Protection Engineering - From Theory to Practice for Government→ENISA Data Protection Engineering - From Theory to Practice for Manufacturing→ENISA Data Protection Engineering - From Theory to Practice for Energy→ENISA Data Protection Engineering - From Theory to Practice for Retail→ENISA Data Protection Engineering - From Theory to Practice for Education→
ENISA Data Protection Engineering - From Theory to Practice by Role
ENISA Data Protection Engineering - From Theory to Practice for CISOs→ENISA Data Protection Engineering - From Theory to Practice for Compliance Officers→ENISA Data Protection Engineering - From Theory to Practice for Risk Managers→ENISA Data Protection Engineering - From Theory to Practice for IT Directors→ENISA Data Protection Engineering - From Theory to Practice for DPOs→ENISA Data Protection Engineering - From Theory to Practice for Auditors→
Frequently Asked Questions
What is ENISA Data Protection Engineering - From Theory to Practice?
ENISA's primary report on the practical engineering of data protection (the umbrella PET / privacy-enhancing-technology document for the EU). 'Data Protection Engineering - From Theory to Practice' (January 2022) sets the connection from Data Protection by Design (GDPR Art.25) to engineering practice via the DPIA process, and surveys the main PETs and their applicability to data protection principles: anonymisation and pseudonymisation, differential privacy, homomorphic encryption, secure multiparty computation, trusted execution environments, private information retrieval, synthetic data, end-to-end encryption, proxy/onion routing, privacy-preserving storage, attribute-based credentials, zero-knowledge proofs, privacy policies/icons/sticky policies, privacy preference signals, privacy dashboards, consent management, and mechanisms for exercising data subject rights of access, erasure and rectification.
How many controls does ENISA Data Protection Engineering - From Theory to Practice have?
ENISA Data Protection Engineering - From Theory to Practice contains 28 controls organized across 7 domains.
Where does ENISA Data Protection Engineering - From Theory to Practice apply?
ENISA Data Protection Engineering - From Theory to Practice is applicable in European Union (ENISA). Organizations operating in or serving customers in this jurisdiction should evaluate its requirements.
What frameworks does ENISA Data Protection Engineering - From Theory to Practice map to?
ENISA Data Protection Engineering - From Theory to Practice has control-to-control mappings with 2 other compliance frameworks in our database. Use our compliance platform to explore these mappings interactively.
How do I get started with ENISA Data Protection Engineering - From Theory to Practice compliance?
Start by understanding the framework's key controls and domains. Our compliance platform provides AI-powered gap analysis and mapping tools to help you assess your current posture and build a remediation plan.
How ready are you for ENISA Data Protection Engineering - From Theory to Practice?
Answer 25 questions and get a professional readiness report with gap analysis, maturity scores, and prioritised action items. Results in 5 minutes.