Recognises pseudonymised data treated as anonymous
A hash or token of an identifier classified as non-personal.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 96% | Mastered |
| gemini-3.5-flash-lite | Low cost | 40% | Not shown |
| gpt-6-luna | Low cost | 96% | Mastered |
| claude-haiku-5-5 | Low cost | 96% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The column as pseudonymised personal data
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CO-006 txn_analytics.customer_hash (SHA-256 of the personal code), public, no categories Acceptable: confidential, personal (pseudonymised)
Also known as: Pseudonymised data treated as anonymous
Related knobits
Builds on
All 16 knobits of Classify data.
Source: Review checklist 02-classification, row 7 (GDPR rec. 26; 20889)