Index › IT › Products › Google Container Analysis · November 2026 Edition
Container and Kubernetes security · Named, not ranked

Google Container Analysis

–Too few to rank
1/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inContainer and Kubernetes security #50 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. Google Container Analysis has 1.

Why models recommend it

“Cloud provider native tools: AWS Inspector, Azure Defender, Google Container Analysis”Kimi K2 · Negative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Google Container Analysis, 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 Google Container Analysis 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 Google Container Analysis and are not a share of its labels.

Domains cited

aikido.dev1
arxiv.org1
blog.gitguardian.com1
calcalistech.com1
chainguard.dev1
computer.org1
docs-bigbang.dso.mil1
docs.qualys.com1
docs.rapid7.com1
docs.tenable.com1

No domain is on file for Google Container Analysis, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Google Container Analysis 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 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000