Explains classification of derived data
A derived column inherits its source's level and categories unless a derivation rule, such as PAN truncation to first six and last four (PCI DSS 3.4.1), allows less.
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 | 99% | Mastered |
| gemini-3.5-flash-lite | Low cost | 85% | Not shown |
| gpt-6-luna | Low cost | 100% | Mastered |
| claude-haiku-5-5 | Low cost | 100% | 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: A derived column inherits its source's level and categories unless a derivation rule, such as PAN truncation to first six and last four (PCI DSS 3.4.1), allows less.
How it is assessed: Answers a written question on the derived data classification correctly
Related knobits
Builds on
Needed for
- S-202 Recognises a derived column less sensitive than its source
- S-209 Recognises a derivation rule leaving data identifying
- S-231 Propagates classification to derived columns
All 16 knobits of Classify data.
Source: Practice the stage 2 reference and review checklist rest on