Index › IT › Products › Phished › Alternatives · November 2026 Edition
One category · what the models named instead

Alternatives to Phished, as AI models named them

In the November 2026 Edition, 239 of the 252 answers collected in the one category where Phished 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.

Named instead, most often
First choices in the 239 answers that did not name Phished, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Security awareness training

Security operations. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when Phished is not its first choice or an alternative in it.
Small businessPhished holds 3 labels here, under the 10-label cutoff, so it is unranked.

Eighty-two of the eighty-four answers did not name Phished; it was the first choice in one. The first choices in those eighty-two answers, eighteen products in all, the eight most named:

10 more in the record.The full small business standing →
Mid-marketPhished is #12 of 14 here at 0% of first choices, 16 labels.

Seventy-four of the eighty-four answers did not name Phished; it was the first choice in one. The first choices in those seventy-four answers, fourteen products in all, the eight most named:

6 more in the record.The full mid-market standing →
EnterprisePhished holds 5 labels here, under the 10-label cutoff, so it is unranked.

Eighty-three of the eighty-four answers did not name Phished; it was the first choice in zero. The first choices in those eighty-three answers, five products in all:

The full enterprise standing →

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 Phished 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 Phished 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 Phished's side.

The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Phished was named by a model, not endorsed by anyone.