Index › IT › Products › gosec · November 2026 Edition
Static application security testing · Named, not ranked

gosec

–Too few to rank
10/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inStatic application security testing #9 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. gosec has 8.

Why models recommend it

“Gosec (Go) — when kept updated and integrated thoughtfully into CI”Gemini 3.5 Flash · Negative question · alternative
“For language-specific needs, consider Bandit or gosec.”Mistral Small · Budget-constrained question · alternative
“Lightweight and focused on Go security issues. | Narrow scope”Grok 4.20 · Budget-constrained question · alternative
“Good lightweight complements for Python or Go projects”Perplexity Sonar · Budget-constrained question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as gosec, over the 17 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 gosec 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 13 of the 17 answers that named gosec and are not a share of its labels.

By model

How each model answered on gosec 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 Flash02002
Perplexity Sonar01001
Grok 4.2001001
Mistral Small01001
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.501001
GPT-6 Luna00000
Muse Glimmer 30B01001