| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Static application security testing | Developer platform | 2% | 13 of 71 | 45% | 44 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Application security posture management | Developer platform | 0% | 14 of 70 | 17% | 18 | accepted challenger | |
| Dynamic application security testing | Developer platform | 0% | 49 of 58 | 50% | 6 | under 10 labels · led by OWASP ZAP at 29% | |
| API security platforms | Security operations | 0% | 30 of 93 | 0% | 3 | under 10 labels · led by Aikido Security at 12% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SAST | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 41 → 13 of 71 |
| ASPM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 14 of 70, unchanged |
| DAST | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 49 of 58, unchanged |
| API security | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 30 of 93, unchanged |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 3 | 3 | 6 |
| GPT-5.4 mini | 1 | 2 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 3 | 3 | 0 | 6 |
| Grok 4.20 | 2 | 2 | 2 | 5 | 11 |
| Mistral Small | 0 | 1 | 2 | 2 | 5 |
| DeepSeek V4 Flash | 0 | 0 | 2 | 3 | 5 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 2 | 1 | 2 | 6 |
| Kimi K2 | 1 | 1 | 0 | 6 | 8 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 1 | 4 |
| MiniMax M2.5 | 1 | 3 | 2 | 1 | 7 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 0 | 2 | 3 |
Verbatim evidence the judge attached to positive labels.
“Checkmarx One (Leader) - Strengths: Highest ranking on Frost Radar Growth Index (21.3% market share in 2024), leads in innovation” MiniMax M2.5 · ASPM · comparative prompt · first choice
“Checkmarx One (Gartner/Forrester Leader): Enterprise-grade with deep dataflow/taint analysis... Checkmarx for banks” Grok 4.20 · SAST · comparative prompt · first choice
“an enterprise-grade scanner (like Checkmarx or Fortify) for nightly full-scan reports and compliance auditing.” Qwen 3.7 Flash · SAST · comparative prompt · first choice
“Gartner Magic Quadrant Leader for 7 consecutive years... Best For: Large enterprises, portfolio-level governance” Kimi K2 · SAST · comparative prompt · first choice
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.
“What I'd Avoid for Mid-Market: Checkmarx and Veracode are powerful but typically start at $60K–$100K+/year” Kimi K2 · SAST · paraphrase prompt · hard negative
“Avoid: Traditional enterprise ASPM platforms (Checkmarx, Fortify, Apiiro)” Kimi K2 · ASPM · budget prompt · hard negative
“be especially cautious with legacy configurations of Checkmarx, Fortify/OpenText, and SonarQube for security use cases unless they are heavily tuned” Muse Glimmer 30B · SAST · negative prompt · soft negative
“Legacy enterprise | Checkmarx, Veracode, Fortify | Deep compliance... unless you have specific compliance requirements that mandate legacy tools” Kimi K2 · SAST · scale prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 245 of the 270 answers that named Checkmarx One and are not a share of its labels.
677 of the 849 domain citations in answers naming Checkmarx One came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
What Checkmarx One's own pages state, read September 28, 2026: checkmarx.com/platform/checkmarx-fusion, checkmarx.com/product/checkmarx-one-assist, docs.checkmarx.com/en/34965-68776-scans-api.html, checkmarx.com/product/application-security-platform, checkmarx.com/resources/checkmarx-one-solution-brief. A claimed page can correct any of them.
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 Checkmarx One'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 Checkmarx One, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Checkmarx One by email, built from the raw record of the edition. It shows: