IT AI Index

Index › Vendors › Mend SAST · September 2026 Edition

Mend · 1 category · Named, not ranked

Mend SAST

2Judge labels

0First choices

0Negative labels

2 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Mend SAST was named 1 time in SAST, where Semgrep led with 47%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market36 of 47

under the label threshold

Enterprise25 of 43

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 Mend SAST 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%	36 of 47	0%	1	under 10 labels · led by Semgrep at 47%

Movement

This is the first edition on this tier, so no move can be computed for Mend SAST 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 Mend SAST across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

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

Paraphrase0 labelsNone

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative2 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.

No positive label carried a quote.

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 Mend SAST, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mend SAST was named but was not.

ProductSame answerTook the first choice insteadHead to head

Checkmarx One2 of 22Not in the top three

HCL AppScan1 of 21Not in the top three

OpenText Fortify1 of 21Not in the top three

Veracode1 of 21Not in the top three

Veracode Static Analysis1 of 21Not in the top three

Black Duck Coverity1 of 20Not in the top three

CodeQL1 of 20Not in the top three

Contrast Assess1 of 20Not in the top three

Cycode1 of 20Not in the top three

FindSecBugs1 of 20Not 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 Mend SAST. 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 2 of the 2 answers that named Mend SAST and are not a share of its labels.

Domains cited

mend.io2

checkmarx.com1

codeant.ai1

community.owasp.org1

corgea.com1

corridor.dev1

cycode.com1

dryrun.security1

endorlabs.com1

g2.com1

Eleven of the eleven domain citations in answers naming Mend SAST came from somebody else's page.

Pages cited

mend.io/blog/best-sast-tools2

checkmarx.com/learn/sast/open-source-vs-premium-sast-tools1

codeant.ai/blogs/static-application-security-testing-sast-tools1

community.owasp.org/Source_Code_Analysis_Tools1

corgea.com/learn/best-sast-tools1

corridor.dev/learn/sast-tools1

cycode.com/blog/top-13-enterprise-sast-tools-for-20261

dryrun.security/blog/top-ai-sast-tools-20261

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 Mend SAST'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 Mend SAST, 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 mend.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.