Index › IT › Products › Checkov · November 2026 Edition
4 categories · Named, not ranked

Checkov

Checkov is a tool that scans infrastructure as code for misconfigurations · checkov.io ↗

–Too few to rank
8/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inCloud security posture management #16 mid-marketCloud-native application protection #22Application security posture management #50Static application security testing #21
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Checkov has 9.

Why models recommend it

“Offers a free community tier for scanning Infrastructure as Code (IaC) and cloud posture via CI/CD pipelines.”Gemini 3.5 Flash · Budget-constrained question · alternative
“Combine open-source tools (Prowler + Checkov) with the free Microsoft offering.”MiniMax M2.5 · Budget-constrained question · alternative
“Prowler + Kubescape + Checkov + Cloud Custodian for multi-cloud at $0 license”Muse Glimmer 30B · Budget-constrained question · alternative
“An OSS stack of Prowler + Kubescape + Checkov + Cloud Custodian”Muse Glimmer 30B · 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 Checkov, over the 22 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.

At a glance

Stated on Checkov's own site, not checked by Gane.

For
developers using Terraform, Terraform plan, CloudFormation, Kubernetes, ARM Templates, Serverless, Helm, and AWS CDK
Visit checkov.io ↗

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 Checkov 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 17 of the 22 answers that named Checkov and are not a share of its labels.

By model

How each model answered on Checkov 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 Flash03104
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201102
GLM 4.7 FlashX00000
MiniMax M2.501001
GPT-6 Luna00000
Muse Glimmer 30B02002