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 62 → 69 of 71
OpenText · 1 category · Named, not rankedOpenText ArcSight
11Judge labels
0First choices
8Negative labels
5 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. OpenText ArcSight was named 4 times in SIEM, where Microsoft Sentinel led with 38%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business75 of 79
0%2 labels
under the label threshold
Mid-market58 of 61
0%4 labels
under the label threshold
Enterprise61 of 61
0%4 labels
under the label threshold
In siem · 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 ArcSight 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 |
|---|---|---|---|---|---|---|---|
| SIEM platforms | Security operations | 0% | 58 of 61 | 75% | 4 | under 10 labels · led by Microsoft Sentinel at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, OpenText ArcSight held within the floor in its one category: no change cleared 11 points.
Best category · SIEM · 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 42 → 54 of 55
Enterprise=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 → 51 of 51
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SIEM | 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 42 → 58 of 61 |
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 ArcSight 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 ArcSight 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 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
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
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative11 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.
“many organizations view ArcSight as bloated legacy debt... Avoiding legacy hardware-heavy installations is generally advisable” Qwen 3.7 Flash · SIEM · negative prompt · hard negative
“it's generally not recommended for new deployments. If your org already has it, plan a migration path.” DeepSeek V4 Flash · SIEM · negative prompt · hard negative
“Legacy platform; avoid for new deployments” Kimi K2 · SIEM · negative prompt · hard negative
Named alongside
The products named in the same answers as OpenText ArcSight, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenText ArcSight was named but was not.ShowHide
Named alongside
The products named in the same answers as OpenText ArcSight, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenText ArcSight 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 ArcSight. 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 8 of the 11 answers that named OpenText ArcSight and are not a share of its labels.
Domains cited
underdefense.com6
exabeam.com5
reddit.com4
siemtune.com4
g2.com3
manageengine.com3
paloaltonetworks.com3
solutionsreview.com3
aws.amazon.com2
businesswire.com2
Thirty-five of the thirty-five domain citations in answers naming OpenText ArcSight came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where OpenText ArcSight stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where OpenText ArcSight stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 10 a month (“opentext arcsight”)
- AI search demand for its name, est.
- 2 a month
- Its own site
- It sits on OpenText's site (opentext.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 58 of 61 in SIEM
Segment leader
38%
Microsoft Sentinel
- First choices
- 0 across its categories
- Named in
- 11 answers
- Its own site cited
- in 8 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 ArcSight
What the judge wrote, as written, with how often. The vendor table decides that these count as OpenText ArcSight; a claim can dispute any of them.
ArcSight 1ArcSight (Micro Focus/OpenText) 1Micro Focus (OpenText) ArcSight 1OpenText 1
Follow OpenText ArcSight
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 ArcSight.ShowHide
The company
OpenText is the company behind OpenText ArcSight.
ShowHideOn record
Company recordsIs 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 ArcSight'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 ArcSight, 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 ArcSight by email, built from the raw record of the edition. It shows:
- where OpenText ArcSight 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 ArcSight, 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.