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 40 → 45 of 47
OpenText · 3 categories · RankedOpenText Fortify
95Judge labels
0First choices
42Negative labels
14 / 14Models named it
3Categories
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 20 of 71 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 36% of its 25 labels there were negative.
What the models named instead of OpenText Fortify →By buyer segmentRead the same way at every buyer size.
Small business49 of 51
0%17 labels
criticized challenger
Mid-market20 of 71
0%25 labels
criticized challenger
Enterprise13 of 45
0%45 labels
criticized challenger
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 OpenText Fortify 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% | 20 of 71 | 36% | 25 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Application security posture management | Developer platform | 0% | 68 of 70 | 100% | 1 | under 10 labels · led by Aikido Security at 37% | |
| Dynamic application security testing | Developer platform | 0% | 32 of 58 | 0% | 1 | under 10 labels · led by OWASP ZAP at 29% |
Movement
Since September 2026, OpenText Fortify held within the floor in all three categories: 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 44 → 19 of 65
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 6 → 11 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 44 → 20 of 71 |
| ASPM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 68 of 70, unchanged |
| DAST | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 32 of 58, 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
By model
How each model treated OpenText Fortify 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 OpenText Fortify 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 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 2 | 2 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 2 | 3 |
| Kimi K2 | 0 | 1 | 0 | 3 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| 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
Direct15 labelsNone
Paraphrase13 labelsNone
Comparative23 labels1not counted in share
Budget-constrained6 labelsNone
Scale-constrained12 labelsNone
Negative26 labelsNone
First choiceAlternativeMentionNegative95 labels in all, every segment counted; 0 of the 1 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.
“Deep static analysis for binaries/source, customizable rules, on-prem/SaaS. High accuracy in taint tracking but can be slower/resource-heavy” Grok 4.20 · SAST · comparative prompt · alternative
“a comprehensive security solution that covers static analysis, dynamic testing, and software composition analysis” Llama 4 Maverick · DAST · paraphrase prompt · alternative
“Choose Checkmarx or Fortify if: You are a large enterprise with rigorous compliance needs” Qwen 3.7 Flash · SAST · comparative prompt · alternative
“enterprise-grade, long-established SAST, often chosen for large regulated environments” GPT-5.4 mini · SAST · 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.
“Avoid: Traditional enterprise ASPM platforms (Checkmarx, Fortify, Apiiro)” Kimi K2 · ASPM · budget prompt · hard negative
“Fortify is described as heavyweight \u2013 requiring dedicated infrastructure and a team to manage scans and triage.” Muse Glimmer 30B · SAST · negative prompt · soft negative
“Why be cautious: Fortify is widely considered a "heavyweight" tool. It is famous for high false positive rates” GLM 4.7 FlashX · SAST · negative prompt · soft negative
“Requires building/compiling to scan, very slow scans, outdated rules... painful support” Kimi K2 · SAST · negative prompt · soft negative
Named alongside
The products named in the same answers as OpenText Fortify, over the 95 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenText Fortify was named but was not.ShowHide
Named alongside
The products named in the same answers as OpenText Fortify, over the 95 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenText Fortify 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 OpenText Fortify. 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 85 of the 95 answers that named OpenText Fortify and are not a share of its labels.
Domains cited
checkmarx.com60
dev.to49
aikido.dev44
augmentcode.com41
appsecsanta.com40
zeropath.com29
safeguard.sh28
codeant.ai26
corgea.com26
endorlabs.com22
365 of the 365 domain citations in answers naming OpenText Fortify came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
opentext.com is not in Google's top ten for any of the category's searches. In the answers, OpenText Fortify takes 0% of first choices and Semgrep takes 36%.ShowHide
Search and answers
opentext.com is not in Google's top ten for any of the category's searches. In the answers, OpenText Fortify takes 0% of first choices and Semgrep takes 36%.
ShowHideIn search
Google, US estimatesPosition for “sast tool”
–
not in the top ten
Position for “sast tools”
–
not in the top ten
- Searches for its name, Google
- 140 a month (“opentext fortify”)
- AI search demand for its name, est.
- 28 a month
- Its company's site
- opentext.com shared with OpenText's other products; the figures are the site's
- Organic visits to its site
- about 220,938 a month
- Searches its site ranks for
- 23,473 · 1,910 in the top three
- Sites linking to it
- 29,267
- Paid Google search
- 1 searches its ads show for, about 4 clicks and $281 a month (estimate)
In answers
This editionShare of first choices
0%
rank 20 of 71 in SAST
Segment leader
36%
Semgrep
- First choices
- 0 across its categories
- Named in
- 95 answers
- Its own site cited
- in 85 of the answers that named it
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 OpenText Fortify
What the judge wrote, as written, with how often. The vendor table decides that these count as OpenText Fortify; a claim can dispute any of them.
Fortify 11Fortify (Micro Focus) 4Fortify (OpenText) 3Fortify SCA / Micro Focus Fortify 1Fortify Static Code Analyzer 1Fortify Static Code Analyzer (SCA) by OpenText 1Fortify by OpenText 1OpenText Fortify (SAST) 1
Follow OpenText Fortify
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.
The company
OpenText is the company behind OpenText Fortify.ShowHide
The company
OpenText is the company behind OpenText Fortify.
ShowHideOn record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- advanced expertise in OpenText Fortify (SAST and DAST)
- For
- strategic customers
- Integrations claimed
- 4 careers.opentext.com/us/en/job/51960/Premium-Support-Engineer-Fortify
- Not stated on the pages read
- Price, starting price, free plan or trial, certifications, hosting, customers
What OpenText Fortify's own pages state, read September 28, 2026: cybersecurity.opentext.com/products/data-security, cybersecurity.opentext.com/products/email-security, cybersecurity.opentext.com/products/endpoint-security, careers.opentext.com/us/en/job/51960/Premium-Support-Engineer-Fortify, careers.opentext.com/us/en/job/52699/Lead-Software-Developer-Fortify-Cloud-development. A claimed page can correct any of 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 OpenText Fortify'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 OpenText Fortify, 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 OpenText Fortify by email, built from the raw record of the edition. It shows:
- where OpenText Fortify 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 OpenText Fortify, 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.