A technique that reduces what an attacker, vendor or insider can learn from personal data, such as differential privacy, federated learning, synthetic data, masking or trusted execution 1. None makes a system compliant alone; each has a known failure mode and is evidenced by a test.
- Developed in
- ch. 19, Privacy-enhancing technologies and their honest limits
- Chapters
- ch. 19, Privacy & AI
- Source
- 1 numbered reference, listed below
Where it is used
2 chapters of the Body of Knowledge use the term. Each link opens the first section that does.
Mentions as a table
| Chapter | Mentions | Cross-referenced |
|---|---|---|
| 00 Preface | 0 | No |
| 01 Definition | 0 | No |
| 02 Why Now | 0 | No |
| 03 Values & Principles | 0 | No |
| 04 The Stack | 0 | No |
| 05 Patterns | 0 | No |
| 06 The Role | 0 | No |
| 07 Maturity Model | 0 | No |
| 08 Regulatory Map | 0 | No |
| 10 Reading List | 0 | No |
| 11 AI Defined | 0 | No |
| 12 Governance Program | 0 | No |
| 13 Risk Management | 0 | No |
| 14 Development | 1 | No |
| 15 Deployment | 0 | No |
| 16 Fairness & XAI | 0 | No |
| 17 Incidents | 0 | No |
| 18 EU AI Act | 0 | No |
| 19 Privacy & AI | 3 | Yes |
| 20 Existing Law | 0 | No |
| 21 AI Laws Worldwide | 0 | No |
| 22 Principles & Standards | 0 | No |
| 23 AI Agents | 0 | No |
- 14 · Development Data for training and testing 1 mention
- 19 · Privacy & AI Minimisation, privacy by design and PETs 3 mentions
Related terms
Neighbourhood as a table
| Family | Item | Relation |
|---|---|---|
| Related terms | Differential privacy | Related |
| Related terms | Federated learning | Related |
| Related terms | Synthetic data | Related |
Sources
- [1] NIST SP 800-226, Guidelines for Evaluating Differential Privacy Guarantees (differential privacy pyramid; privacy hazards). NIST. 2025-03. https://csrc.nist.gov/pubs/sp/800/226/final (verified: primary)
Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .