Every category where a model named Bandit for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Static application security testing	Developer platform	0%	13 of 47	18%	11	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Bandit yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Bandit across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	0	1	2
Perplexity Sonar	1	0	1	2
Grok 4.1 Fast	1	0	0	1
Mistral Small	1	0	0	1
DeepSeek V4 Flash	1	0	0	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	1	0	0	1
Kimi K2	1	0	0	1
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	0	1	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative3 labelsNone

Budget-constrained18 labelsNone

Scale-constrained0 labelsNone

Negative10 labelsNone

First choiceAlternativeMentionNegative33 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Add language-specific tools (like Bandit for Python, gosec for Go, Brakeman for Ruby) as needed” Kimi K2 · SAST · budget prompt · alternative

“A language-specific linter (Bandit, gosec, Brakeman) for depth in your main stack” DeepSeek V4 Flash · SAST · budget prompt · alternative

“For Python, Bandit is highly recommended for its zero-config setup and speed” Mistral Small · SAST · budget prompt · alternative

“A language-specific scanner such as Bandit for Python” Perplexity Sonar · SAST · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Basic pattern-matching tools (like Bandit for Python...)... If you rely *only* on basic pattern-matchers, you will miss the critical logical or data-flow flaws” Gemini 3.5 Flash · SAST · negative prompt · soft negative

“Bandit is described as Python-focused and limited in detection scope” Perplexity Sonar · SAST · negative prompt · soft negative

Named alongside

The products named in the same answers as Bandit, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Bandit was named but was not.

ProductSame answerTook the first choice insteadHead to head

Semgrep32 of 3326Not in the top three

SonarQube27 of 332Not in the top three

CodeQL19 of 331Not in the top three

gosec17 of 330Not in the top three

Checkmarx One16 of 331Not in the top three

Snyk Code16 of 331Not in the top three

Veracode15 of 331Not in the top three

Brakeman15 of 330Not in the top three

OpenText Fortify12 of 330Not in the top three

Codacy9 of 330Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Bandit. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 27 of the 33 answers that named Bandit and are not a share of its labels.

Domains cited

dev.to22

appsecsanta.com18

zeropath.com15

checkmarx.com13

corgea.com12

safeguard.sh12

endorlabs.com11

ox.security11

pixee.ai8

appscan.dev7

129 of the 129 domain citations in answers naming Bandit came from somebody else's page.

Pages cited

dev.to/rahulxsingh/i-reviewed-32-sast-tools-the-ones-worth-using-283e19

zeropath.com/blog/best-sast-tools15

appsecsanta.com/sast-tools13

checkmarx.com/learn/sast/open-source-vs-premium-sast-tools13

corgea.com/learn/best-sast-tools12

dev.to/rahulxsingh/11-best-sast-tools-in-2026-static-application-security-testing-compared12

ox.security/blog/static-application-security-sast-tools11

appsecsanta.com/sast-tools/open-source-sast-tools10

Pages are listed as the models cited them.

Names read as Bandit

What the judge wrote, as written, with how often. The vendor table decides that these count as Bandit; a claim can dispute any of them.

Bandit (Python) 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Bandit's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Bandit, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at bandit.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.