ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations
The European Union Agency for Cybersecurity (ENISA) publishes a series of reports and recommendations on Privacy‑Enhancing Technologies (PETs) to support data protection by design and by default. The publications address a range of techniques including data pseudonymisation, anonymisation methods, differential privacy, homomorphic encryption, secure multi‑party computation, federated learning, and other emerging privacy‑preserving approaches.
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Framework Domains (19)
Assessment
| Code | Title |
|---|---|
| ENISA-PET-02 | PET Maturity Assessment |
Assurance
| Code | Title |
|---|---|
| ENISA-PET-13 | Independent Validation of PETs |
Data Alteration Techniques
| Code | Title |
|---|---|
| PET-1.1 | Anonymisation |
| PET-1.2 | Pseudonymisation |
| PET-1.3 | Differential Privacy |
| PET-1.4 | Synthetic Data Generation |
Data Shielding Techniques
| Code | Title |
|---|---|
| PET-2.1 | Homomorphic Encryption |
| PET-2.2 | Encryption at Rest and in Transit |
| PET-2.3 | Trusted Execution Environments |
Design
| Code | Title |
|---|---|
| ENISA-PET-03 | Data Minimisation by Design |
Governance
| Code | Title |
|---|---|
| ENISA-PET-01 | PET Inventory and Classification |
Implementation Guidance
Practical implementation for stakeholders
Incident
| Code | Title |
|---|---|
| ENISA-PET-18 | Incident Response for PET Failures |
Maturity Assessment
| Code | Title |
|---|---|
| PET-5.1 | Technology Readiness Level Assessment |
| PET-5.2 | PET Selection Methodology |
Operations
| Code | Title |
|---|---|
| ENISA-PET-17 | Monitoring and Logging |
People
| Code | Title |
|---|---|
| ENISA-PET-15 | PET Training and Competence |
Risk
| Code | Title |
|---|---|
| ENISA-PET-12 | Privacy Risk Assessment for PETs |
Supply Chain
| Code | Title |
|---|---|
| ENISA-PET-16 | Vendor and Library Assurance |
Systems and Architecture
| Code | Title |
|---|---|
| PET-3.1 | Secure Multi-Party Computation (MPC) |
| PET-3.2 | Federated Learning |
| PET-3.3 | Data Dispersion and Distributed Storage |
Technical
| Code | Title |
|---|---|
| ENISA-PET-04 | Differential Privacy Parameter Governance |
| ENISA-PET-05 | Federated Learning Controls |
| ENISA-PET-06 | Homomorphic Encryption Use Cases |
| ENISA-PET-07 | k-Anonymity Implementation |
| ENISA-PET-08 | l-Diversity Controls |
| ENISA-PET-09 | t-Closeness Controls |
| ENISA-PET-10 | Secure Multi-Party Computation Governance |
| ENISA-PET-11 | Pseudonymisation Strategy |
Testing
| Code | Title |
|---|---|
| ENISA-PET-19 | Re-Identification Testing |
Transfers
| Code | Title |
|---|---|
| ENISA-PET-20 | Cross Border Data Flows with PETs |
Transparency
| Code | Title |
|---|---|
| ENISA-PET-14 | Transparency and Documentation |
Transparency and User Control
| Code | Title |
|---|---|
| PET-4.1 | Consent Management Tools |
| PET-4.2 | Privacy Dashboards and Portability |
| PET-4.3 | Zero-Knowledge Proofs |
Your Compliance Coverage
If you comply with ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations, you already cover:
NIST AI 600-1 Generative AI Profile
14%
5 controls mapped
Compare →NIST AI Risk Management Framework (AI RMF 1.0)
14%
5 controls mapped
Compare →Digital Economy Partnership Agreement (DEPA)
14%
5 controls mapped
Compare →+ 466 more: ISO/IEC 27557:2022 - Organisational Privacy Risk Management (11%), ISO/IEC 23837 - Security Requirements for Quantum Key Distribution (11%)
See all 469 mapped frameworks ↓Maps to 469 other frameworks
Frequently Asked Questions
What is ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations?
ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations is a compliance framework from European Union (ENISA) with 19 domains and 35 controls. The European Union Agency for Cybersecurity (ENISA) publishes a series of reports and recommendations on Privacy‑Enhancing Technologies (PETs) to support data protection by design and by default. The publications address a range of techniques including data pseudonymisation, anonymisation methods, differential privacy, homomorphic encryption, secure multi‑party computation, federated learning, and other emerging privacy‑preserving approaches. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations have?
ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations has 35 controls organised across 19 domains. The largest domains are Technical (8 controls), Data Alteration Techniques (4 controls), Data Shielding Techniques (3 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations map to?
ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations maps to 469 other compliance frameworks. The top mapping partners are NIST AI 600-1 Generative AI Profile (14% coverage), NIST AI Risk Management Framework (AI RMF 1.0) (14% coverage), Digital Economy Partnership Agreement (DEPA) (14% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations compliance?
Start your ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about ENISA Privacy‑Enhancing Technologies (PET) reports and recommendations requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 35 controls and track your progress.
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