IT AI Index
Index Vendors › OpenText ArcSight · September 2026 Edition
OpenText · 1 category · Named, not ranked

OpenText ArcSight

14Judge labels
0First choices
12Negative labels
8 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
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 41%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
SIEM platformsSecurity operations0%47 of 4975%4under 10 labels · led by Microsoft Sentinel at 41%

Movement

This is the first edition on this tier, so no move can be computed for OpenText ArcSight 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 OpenText ArcSight across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00011
MiniMax M2.500112

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
Paraphrase1 labelNone
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative10 labelsNone
First choiceAlternativeMentionNegative14 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.

“Considered a legacy SIEM with mounting issues: Outdated technology that hasn't evolved for modern security needs” Kimi K2 · SIEM · negative prompt · hard negative
“ArcSight SIEM is deprecated in 12.2.0.8.0 and desupported in 12.2.0.9.0” GLM 4.7 FlashX · SIEM · negative prompt · hard negative
“Known for complex configuration, limited visualization options, and intricate correlation rules.” MiniMax M2.5 · SIEM · negative prompt · soft negative

Named alongside

The products named in the same answers as OpenText ArcSight, over the 13 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.
ProductSame answerTook the first choice insteadHead to head
IBM QRadar12 of 130Not in the top three
Microsoft Sentinel11 of 131Not in the top three
Splunk9 of 130Not in the top three
LogRhythm6 of 130Not in the top three
Elastic Security5 of 131Not in the top three
Sumo Logic5 of 130Not in the top three
Exabeam4 of 130Not in the top three
Securonix4 of 130Not in the top three
Datadog Cloud SIEM3 of 130Not in the top three
Palo Alto Networks Cortex XSIAM3 of 130Not 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 OpenText ArcSight. 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 8 of the 13 answers that named OpenText ArcSight and are not a share of its labels.

Domains cited

gartner.com5
reddit.com5
underdefense.com4
paloaltonetworks.com3
scribd.com3
siemcostcalculator.com3
siemtune.com3
splunk.com3
capterra.com2
csoonline.com2

Thirty-three of the thirty-three domain citations in answers naming OpenText ArcSight came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 2ArcSight (OpenText) 1Micro Focus / OpenText ArcSight (Legacy) 1
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 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.

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 opentext.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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