Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 10 → 11 of 47
Bandit
32Judge labels
0First choices
7Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in SAST for mid-market buyers
Rank 14 of 71 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 13% of its 15 labels there were negative.
What the models named instead of Bandit →By buyer segmentRead the same way at every buyer size.
Small business13 of 51
0%12 labels
accepted challenger
Mid-market14 of 71
0%15 labels
accepted challenger
Enterprise45 of 45
0%4 labels
under the label threshold
In sast · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Static application security testing | Developer platform | 0% | 14 of 71 | 13% | 15 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Bandit held within the floor in its one category: no change cleared 11 points.
Best category · SAST · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 13 → 14 of 65
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 39 → 42 of 42
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SAST | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 13 → 14 of 71 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Bandit across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Bandit across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 1 | 2 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
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
Direct1 labelNone
Paraphrase1 labelNone
Comparative2 labelsNone
Budget-constrained16 labelsNone
Scale-constrained1 labelNone
Negative11 labelsNone
First choiceAlternativeMentionNegative32 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.
“combining 2-3 diverse SAST tools (e.g., Semgrep + CodeQL + Bandit) increases detection rates by 25–100%” DeepSeek V4 Flash · SAST · negative prompt · alternative
“stick to highly active, well-maintained projects (like Semgrep or Bandit for Python)” Gemini 3.5 Flash · SAST · negative prompt · alternative
“a language-specific linter for depth in your main stack e.g. Bandit for Python” Muse Glimmer 30B · SAST · budget prompt · alternative
“Language-specific tools for depth (e.g., Bandit for Python” Kimi K2 · 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.
“Semgrep OSS and Bandit are fast and low false-positive for obvious patterns, but miss vulnerabilities that span multiple functions” Muse Glimmer 30B · SAST · negative prompt · soft negative
“Excellent for Python, but does almost nothing for JavaScript or Java” Qwen 3.7 Flash · SAST · negative prompt · soft negative
Named alongside
The products named in the same answers as Bandit, over the 32 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.ShowHide
Named alongside
The products named in the same answers as Bandit, over the 32 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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 30 of the 32 answers that named Bandit and are not a share of its labels.
Domains cited
dev.to24
safeguard.sh22
appsecsanta.com21
checkmarx.com18
getautonoma.com12
community.owasp.org11
endorlabs.com10
codeant.ai9
opsera.ai9
aikido.dev8
No domain is on file for Bandit, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Bandit stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Bandit stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 110,000 a month (“bandit”)
- AI search demand for its name, est.
- 23,958 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 14 of 71 in SAST
Segment leader
36%
Semgrep
- First choices
- 0 across its categories
- Named in
- 32 answers
- Its own site cited
- No site on file to match
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
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 / Brakeman / gosec 1
Follow Bandit
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Bandit by email, built from the raw record of the edition. It shows:
- where Bandit is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Bandit, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.