Index › IT › Products › Legacy/Spreadsheet-based Open FAIR tools · November 2026 Edition
Cyber risk quantification · Named, not ranked

Legacy/Spreadsheet-based Open FAIR tools

–Too few to rank
1/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inCyber risk quantification #106 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Legacy/Spreadsheet-based Open FAIR tools has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Basic FAIR spreadsheets lack scalability for large enterprises.”DeepSeek V4 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as Legacy/Spreadsheet-based Open FAIR tools, over the 1 answer that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Legacy/Spreadsheet-based Open FAIR tools came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 1 of the 1 answers that named Legacy/Spreadsheet-based Open FAIR tools and are not a share of its labels.

Domains cited

darkreading.com1
fairinstitute.org1
g2.com1
gane.ai/indexpublisher (Gane)1
nccgroup.com1
nhimg.org1
palomarr.com1
philvenables.com1
securityboulevard.com1
startupstash.com1

No domain is on file for Legacy/Spreadsheet-based Open FAIR tools, so its own site is not marked. One was to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Legacy/Spreadsheet-based Open FAIR tools across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000