Privacy Enhancing Technologies (PETs)
What is Privacy Enhancing Technologies (PETs)?
Technologies that embody fundamental data protection principles by minimising personal data use, maximising data security, and empowering individuals. PETs include differential privacy, homomorphic encryption, and secure multi-party computation.
Terms that appear alongside privacy enhancing technologies (pets)
Each of these is named in at least one of the same controls as privacy enhancing technologies (pets). The number is how many controls name both.
- differential privacy 4 shared controls
- transparency 4 shared controls
- encryption 3 shared controls
- pseudonymisation 3 shared controls
- anonymisation 3 shared controls
- compliance 3 shared controls
- federated learning 3 shared controls
- data protection 3 shared controls
Frameworks that govern privacy enhancing technologies (pets)
What the standards actually require on privacy enhancing technologies (pets)
Requirements naming privacy enhancing technologies (pets) across 5 standards, quoted from the control text.
Categorises Privacy-Enhancing Technologies (PETs) and frames how each addresses data protection principles. Three broad categories underpin the report: anonymisation/pseudonymisation, privacy-preserving computation, and PETs for access/communication/storage;
ENISA-DPE-2.3 · Privacy-Enhancing Technologies (overview and taxonomy) →Security Dimension 8 Privacy per X.805 Clause 6.8: Privacy shields what could be inferred by watching activity on the network, for example websites visited by users + their geographic location + the IP addresses and DNS names assigned to devices inside a provi...
X805-Dim8-Privacy-Identification-Network-Activity-Personal-Information-Confidentiality · ITU-T X.805 Security Dimension 8 - Privacy + Identification of Network Activity + Personal Information Confidentiality + Subscriber Anonymity + Pseudonymity + Anti-Tracking + Location Privacy + Data Minimization + GDPR/CCPA Alignment →Article 12 of the Kazakhstan PDPL establishes the data localization requirement for biometric personal data of Kazakhstan citizens and residents - a key sovereignty provision strengthened by the 2022 amendment.
KZ-PDPL-Biometric-Data-Localization-Article12-Server-Kazakhstan-On-Soil-Data-Storage-Citizens-Residents · Kazakhstan PDPL Biometric Data Localization + Article 12 + Mandatory Server Storage in Kazakhstan + 2022 Amendment + Citizens + Residents + Foreign Cloud Provider Restrictions + Data Sovereignty + State Service for Information Security Oversight →Section 7 of KOSA establishes a framework for qualified researcher access to covered platform data for public interest research. (1) Section 7(a) Qualified Researcher Definition: (a) Affiliated with accredited higher education institution + non-profit research...
KOSA-Researcher-Access-Section7-Qualified-Researchers-Public-Interest-Research-Approval-Process-Data-Sharing-Protections · KOSA Researcher Access + Section 7 + Qualified Researchers + Public Interest Research + Approval Process + Data Sharing + Privacy Protections + Methodology Standards + Public Reporting + Academic + Civil Society + Government Researchers →Apply Control-P function including: Control Policies (CT.PO-P) covering policies + plans + processes for privacy risk control; Data Management (CT.DM-P) covering data quality + retention + destruction + access + transmission + alteration + deletion + correctio...
NISTPF-3 · Control-P - Privacy Controls, Data Management, and Disassociated Processing →Questions people ask about privacy enhancing technologies (pets)
What is Privacy Enhancing Technologies (PETs)?
Why is Privacy Enhancing Technologies (PETs) important for compliance?
Which compliance frameworks address Privacy Enhancing Technologies (PETs)?
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See how Privacy Enhancing Technologies (PETs) applies across compliance frameworks
Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.