One category · what the models named insteadAlternatives to SAS, as AI models named them
In the October 2026 Edition, 248 of the 252 answers collected in the one category where SAS holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.
AML and transaction monitoring
Eighty-four of the eighty-four answers did not name SAS; it was the first choice in zero. The first choices in those eighty-four answers, twenty-one products in all, the eight most named:
Eighty-two of the eighty-four answers did not name SAS; it was the first choice in one. The first choices in those eighty-two answers, twenty-eight products in all, the eight most named:
Eighty-two of the eighty-four answers did not name SAS; it was the first choice in zero. The first choices in those eighty-two answers, twenty products in all, the eight most named:
How to read this
A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled SAS neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named SAS only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from SAS's side.
Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of SAS was named by a model, not endorsed by anyone.