Fuzziness levels
Fuzziness is set per search, from Exact Match to Broad Match:Broad Match is the default. It catches the most spelling variants, which matters most for transliterated names — and it also returns the most false positives. Lower the level if your analysts spend too much time clearing irrelevant hits.
What Exact Match still finds
Exact Match switches off tolerance for spelling differences, not for the different names a record carries. A listed record often stores several versions of a person’s name — in other scripts, in other transliterations, with a middle name or patronymic. Your query is compared with each of them, so an exact query can still return a record whose main name looks different.Example: searching for “Nikolaos Papadopoulos”
The same query at three levels:- Broad Match
- 50% fuzziness
- Exact Match
Returns the widest range of possible matches, for example:
- Nikolaos Papadopoulos
- Nikolaos Papadopulos
- Nikolas Papadopoulos
- N. Papadopoulos
- Papadopulos (surname only)
How close is the match
Each result also gets a match score showing how closely the listed name matches your query. Missing name parts and spelling differences lower it; exact matches on individual words raise it. For a listed record named Nikolaos Papadopoulos:
The match score is separate from the risk score: it says how likely the record is the person you searched for, not how risky that record is. Only strong name matches raise the risk level of the overall search.
Choosing a level
Next steps
AML Search
Run a search in the Dashboard or via the API.
How Risk Scoring Works
What the score on each match means.
Daily Monitoring
Re-screen applicants automatically every day.