IT AI Index
Index Vendors › Syft · September 2026 Edition
2 categories · Named, not ranked

Syft

14Judge labels
0First choices
0Negative labels
8 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Syft was named 7 times in SCA and 1 other category, where Trivy led with 40%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In sca · 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 Syft 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Software composition analysisDeveloper platform0%21 of 490%6under 10 labels · led by Trivy at 40%
Container and Kubernetes securityCloud and infrastructure0%41 of 780%1under 10 labels · led by Aqua Security at 18%

Movement

This is the first edition on this tier, so no move can be computed for Syft 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 Syft across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX01102
MiniMax M2.500101

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
Direct0 labelsNone
Paraphrase8 labelsNone
Comparative1 labelNone
Budget-constrained4 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative14 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.

“utilize their modern stateless CLI tools, Syft (for SBOM generation) and Grype (for vulnerability scanning)” Gemini 3.5 Flash · Container security · negative prompt · alternative
“Pairs well with Syft (SBOM generator) for complete supply chain visibility” Kimi K2 · SCA · budget prompt · alternative
“If you need a pure SBOM generator first, then feed into any scanner.” GLM 4.7 FlashX · SCA · paraphrase prompt · alternative
“Pairs with Syft for SBOM generation” DeepSeek V4 Flash · SCA · comparative 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.

No model argued against it.

Named alongside

The products named in the same answers as Syft, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Syft was named but was not.
ProductSame answerTook the first choice insteadHead to head
Grype14 of 140Not in the top three
Trivy13 of 148Not in the top three
OWASP Dependency-Check10 of 141Not in the top three
OSV-Scanner9 of 140Not in the top three
Snyk Open Source7 of 142Not in the top three
OWASP Dependency-Track4 of 142Not in the top three
Socket3 of 140Not in the top three
Black Duck2 of 140Not in the top three
Endor Labs2 of 140Not in the top three
FOSSA2 of 140Not 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 Syft. 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 12 of the 14 answers that named Syft and are not a share of its labels.

Domains cited

appsecsanta.com12
aikido.dev9
cve.optibot.re9
safeguard.sh9
endorlabs.com8
guideflow.com8
dupple.com4
ox.security4
tomodahinata.com4
businessabc.net3

Seventy of the seventy domain citations in answers naming Syft came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 Syft'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 Syft, 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 syft.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.