What it means
Examples include differential privacy, secure multiparty computation, homomorphic encryption, trusted execution environments, federated approaches, and strong de-identification methods.
Why it matters
PETs can support valuable analysis while reducing privacy risk, but their guarantees depend on threat models, implementation, parameters, and surrounding governance.
Practical focus
- Start with the privacy objective and threat model
- Understand the guarantee and failure conditions
- Test utility and privacy tradeoffs
- Protect metadata, keys, and operational workflows around the technology
Common mistakes
- Selecting a PET because it is fashionable
- Assuming cryptography solves governance problems
- Ignoring repeated-query or linkage risk
- Publishing claims stronger than the implementation supports
Certification relevance
This subject appears in or supports the following certification bodies of knowledge: