IT AI Index
Index Vendors › Black Duck · September 2026 Edition
3 categories · Ranked

Black Duck

104Judge labels
8First choices
25Negative labels
12 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
19% in SCA for enterprise buyers
Rank 12 of 49 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 18% of its 34 labels there were negative.
By buyer segmentStrongest at enterprise.
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 Black Duck 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%12 of 4918%34accepted challenger
Penetration testing as a serviceSecurity operations0%58 of 760%1under 10 labels · led by Cobalt at 44%
Static application security testingDeveloper platform0%29 of 470%1under 10 labels · led by Semgrep at 47%

Movement

This is the first edition on this tier, so no move can be computed for Black Duck 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 Black Duck across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501203
GPT-5.4 mini02002
Gemini 3.5 Flash02002
Perplexity Sonar01102
Grok 4.1 Fast03115
Mistral Small01113
DeepSeek V4 Flash01214
Llama 4 Maverick00101
Qwen 3.7 Flash01225
Kimi K201214
GLM 4.7 FlashX02002
MiniMax M2.503003

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
Direct23 labels6
Paraphrase4 labelsNone
Comparative29 labels7not counted in share
Budget-constrained15 labels2
Scale-constrained15 labelsNone
Negative18 labelsNone
First choiceAlternativeMentionNegative104 labels in all, every segment counted; 8 of the 15 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.

“Often considered the "gold standard" for enterprise SCA... Choose Synopsys or Sonatype if you are a large organization with strict legal/compliance requirements” Qwen 3.7 Flash · SCA · comparative prompt · alternative
“Traditional enterprise-grade tools with exceptionally deep license compliance libraries, great for strict governance.” Gemini 3.5 Flash · SCA · scale prompt · alternative
“better if you need heavier governance, compliance, and enterprise-grade license management” Perplexity Sonar · SCA · direct prompt · alternative
“Enterprise Governance ... Best For: Large enterprises with strict compliance requirements” Kimi K2 · 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.

“like older versions of Black Duck or Sonatype Nexus IQ) can be slow to install, heavy on resources, or difficult to configure at scale” Qwen 3.7 Flash · SCA · negative prompt · soft negative
“Users report significant false positives, especially on large codebases... Expensive enterprise licensing, complex deployment” Kimi K2 · SCA · negative prompt · soft negative
“they can be complex, expensive, and sometimes overkill for smaller teams or simpler use cases” Mistral Small · SCA · negative prompt · soft negative
“Resource-heavy on-prem, slower scans, higher costs; some false positives/container gaps.” Grok 4.1 Fast · SCA · negative prompt · soft negative

Named alongside

The products named in the same answers as Black Duck, over the 104 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Black Duck was named but was not.
ProductSame answerTook the first choice insteadHead to head
Snyk Open Source94 of 10430Not in the top three
Mend.io81 of 1049Not in the top three
Sonatype Lifecycle76 of 1049Not in the top three
Endor Labs47 of 1044Not in the top three
FOSSA36 of 1040Not in the top three
JFrog Xray33 of 1040Not in the top three
OWASP Dependency-Check29 of 1041Not in the top three
Trivy27 of 1048Not in the top three
Checkmarx SCA27 of 1040Not in the top three
GitHub Advanced Security22 of 1041Not 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 Black Duck. 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 88 of the 104 answers that named Black Duck and are not a share of its labels.

Domains cited

endorlabs.com71
guideflow.com43
cycode.com41
safeguard.sh40
mend.io37
sonatype.com36
toolradar.com35
dupple.com34
expertinsights.com34
ox.security33

404 of the 404 domain citations in answers naming Black Duck came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Black Duck

What the judge wrote, as written, with how often. The vendor table decides that these count as Black Duck; a claim can dispute any of them.
Black Duck (Synopsys) 8Black Duck/Synopsys 2Synopsys Black Duck 2Black Duck (by Synopsys) 1Black Duck SCA (formerly Synopsys) 1Synopsys 1Synopsys (Black Duck) 1
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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 Black Duck'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 Black Duck, 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 blackduck.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.

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