ENISA Data Protection Engineering - From Theory to Practice
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. It comprises 28 controls organised across 7 domains, published by ENISA, and applies in the European Union (ENISA).
How ENISA Data Protection Engineering - From Theory to Practice maps to other frameworks
All 28 controls, each one mapped to the equivalent requirement in other standards, with the evidence that carries across and the mappings that were judged and rejected shown alongside. No account needed to look.
See the control mappings →The 7 domains ENISA Data Protection Engineering - From Theory to Practice groups its controls into
Where ENISA Data Protection Engineering - From Theory to Practice overlaps with the standards you already hold
What ENISA Data Protection Engineering - From Theory to Practice means in your sector
What ENISA Data Protection Engineering - From Theory to Practice means for your job
Questions people ask about ENISA Data Protection Engineering - From Theory to Practice
What is ENISA Data Protection Engineering - From Theory to Practice?
How many controls does ENISA Data Protection Engineering - From Theory to Practice have?
Where does ENISA Data Protection Engineering - From Theory to Practice apply?
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How do I get started with ENISA Data Protection Engineering - From Theory to Practice compliance?
Query ENISA Data Protection Engineering - From Theory to Practice programmatically
ENISA Data Protection Engineering - From Theory to Practice, its 28 controls and every mapping into other standards are available over a REST endpoint and an MCP server, so an agent can read them directly. The free tier is 10 calls a day and needs no signup.
ENISA Data Protection Engineering - From Theory to Practice API reference and MCP config →What ENISA Data Protection Engineering - From Theory to Practice requires, control by control
Each page carries the requirement text for one ENISA Data Protection Engineering - From Theory to Practice control and what an assessor expects to see as evidence.
- ENISA-DPE-1-1 Data Protection by Design
- ENISA-DPE-2-1 From DPbD to data protection engineering
- ENISA-DPE-2-2 Connection with the Data Protection Impact Assessment
- ENISA-DPE-3-1 Anonymisation
- ENISA-DPE-3-2 Pseudonymisation
- ENISA-DPE-3-3 Differential privacy
- ENISA-DPE-4-1 Homomorphic encryption
- ENISA-DPE-4-2 Secure multiparty computation (MPC)
- ENISA-DPE-4-3 Trusted execution environments (TEEs)
- ENISA-DPE-4-4 Private information retrieval (PIR)
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