Index › IT › Products › SAFECode · November 2026 Edition
Secure code training · Named, not ranked

SAFECode

–Too few to rank
3/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inSecure code training #26 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. SAFECode has 3.

Why models recommend it

“Focuses on free, open resources and best practices for secure software development.”Mistral Small · Comparative question · alternative
“SafeCode: Free, open-source training modules created by industry leaders”Gemini 3.5 Flash · Paraphrase question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as SAFECode, over the 3 answers 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 SAFECode 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 2 of the 3 answers that named SAFECode and are not a share of its labels.

Domains cited

ebool.com2
sourceforge.net2
blog.secureflag.com1
comparitech.com1
cybersectools.com1
digital-skills-jobs.europa.eu1
findalternatives.net1
gane.ai/indexpublisher (Gane)1
gartner.com1
guideflow.com1

No domain is on file for SAFECode, 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 SAFECode 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 Flash01001
Perplexity Sonar00000
Grok 4.2000000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101