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 10 → 13 of 71
Datadog · 1 category · Named, not rankedDatadog Cloud SIEM
17Judge labels
0First choices
3Negative labels
10 / 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
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Datadog Cloud SIEM was named 3 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 business14 of 79
0%9 labels
under the label threshold
Mid-market20 of 61
0%3 labels
under the label threshold
Enterprise26 of 61
0%5 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 Datadog Cloud SIEM 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% | 20 of 61 | 0% | 3 | 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, Datadog Cloud SIEM 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 14 → 18 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 29 → 28 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 14 → 20 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 Datadog Cloud SIEM 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 Datadog Cloud SIEM 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 | 1 | 0 | 0 | 1 |
| 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 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Paraphrase5 labelsNone
Comparative5 labelsNone
Budget-constrained1 labelNone
Scale-constrained2 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative17 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.
“Best if your stack already uses Datadog; seamless integration but limited if you need deep on-prem” GLM 4.7 FlashX · SIEM · paraphrase prompt · alternative
“adding Datadog's Cloud SIEM is highly efficient” Gemini 3.5 Flash · SIEM · paraphrase 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.
No model argued against it.
Named alongside
The products named in the same answers as Datadog Cloud SIEM, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog Cloud SIEM was named but was not.ShowHide
Named alongside
The products named in the same answers as Datadog Cloud SIEM, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog Cloud SIEM 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 Datadog Cloud SIEM. 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 15 of the 17 answers that named Datadog Cloud SIEM and are not a share of its labels.
Domains cited
underdefense.com10
q-sec.com8
paloaltonetworks.com7
sentinelone.com6
huntress.com5
panther.com5
reddit.com5
subrosacyber.com5
blumira.com4
exabeam.com4
Fifty-nine of the fifty-nine domain citations in answers naming Datadog Cloud SIEM came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Datadog Cloud SIEM stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Datadog Cloud SIEM stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 260 a month (“datadog cloud siem”)
- AI search demand for its name, est.
- 4 a month
- Its own site
- It sits on Datadog's site (datadoghq.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 20 of 61 in SIEM
Segment leader
38%
Microsoft Sentinel
- First choices
- 0 across its categories
- Named in
- 17 answers
- Its own site cited
- in 15 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.
Follow Datadog Cloud SIEM
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
Datadog is the company behind Datadog Cloud SIEM.ShowHide
The company
Datadog is the company behind Datadog Cloud SIEM.
ShowHideOn record
Company records- Also from Datadog
- Datadog AIOps, Datadog APM, Datadog Agent, Datadog Cloud Cost Management, Datadog Cloud Security, Datadog Cloud Security Management, Datadog Data Observability, Datadog Error Tracking and 13 more
In its own words
Stated by the vendor, not checked- Positioning
- An AI-driven threat detection and incident response platform for security operations teams
- For
- security operations teams
- Price stated
- View pricing datadoghq.com/product/cloud-siem
- Free plan or trial
- Try Cloud SIEM Free; 14-day free-trial of the entire Datadog product suite datadoghq.com/product/cloud-siem
- Integrations claimed
- 1000 datadoghq.com/product/cloud-siem
- Customers named
- 1Password
- Not stated on the pages read
- Starting price, certifications, hosting
What Datadog Cloud SIEM's own pages state, read September 28, 2026: datadoghq.com/product/cloud-siem, docs.datadoghq.com/data_security/cloud_siem, learn.datadoghq.com/courses/cloud-siem-detect-investigate-threats, docs.datadoghq.com/extend/integrations/create-a-cloud-siem-detection-rule. 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 Datadog Cloud SIEM'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 Datadog Cloud SIEM, 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 Datadog Cloud SIEM by email, built from the raw record of the edition. It shows:
- where Datadog Cloud SIEM 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 Datadog Cloud SIEM, 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.