Explains transaction-monitoring typologies
Structuring, rapid movement through mule accounts, high-risk geographies, and the time spans they unfold over (EBA/GL/2021/02).
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 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 | 80% | Not shown |
| gpt-6-luna | Low cost | 75% | Not shown |
| claude-haiku-5-5 | Low cost | 92% | 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: Structuring, rapid movement through mule accounts, high-risk geographies, and the time spans they unfold over (EBA/GL/2021/02).
How it is assessed: Answers a written question on the transaction-monitoring typologies correctly
Related knobits
Needed for
- N-603 Recognises an event window too short for its pattern
- N-631 Matches an event rule's window to its pattern
All 15 knobits of Set event thresholds and alerts.
Source: Practice the stage 6 reference and review checklist rest on