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 9 → 12 of 42
3 categories · RankedRed Canary
49Judge labels
2First choices
2Negative labels
12 / 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
2% in MDR for enterprise buyers
Rank 13 of 67 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 14 labels there were negative.
What the models named instead of Red Canary →By buyer segmentRead the same way at every buyer size.
Small business14 of 48
0%10 labels
accepted challenger
Mid-market13 of 67
0%14 labels
accepted challenger
Enterprise10 of 67
2%16 labels
accepted challenger
In mdr · 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 Red Canary 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 |
|---|---|---|---|---|---|---|---|
| Managed detection and response | Security operations | 0% | 13 of 67 | 0% | 14 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Endpoint protection | IT operations and endpoint | 0% | 39 of 86 | 0% | 1 | under 10 labels · led by Microsoft Defender for Endpoint at 22% | newNew since September 2026: not ranked then, 0% now. |
| SIEM platforms | Security operations | 0% | 46 of 61 | 0% | 1 | 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, Red Canary held within the floor in all three categories: no change cleared 11 points.
Best category · MDR · 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 10 → 13 of 65
Enterprise▼−5Since September 2026: 7% → 2%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 7% in September 2026
Inside the floor by 6 pointsRank 5 → 10 of 60
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| MDR | 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 10 → 13 of 67 |
| Endpoint protection | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 39 of 86, unchanged |
| 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 17 → 46 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 Red Canary 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 Red Canary 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 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 4 | 1 | 0 | 5 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 2 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 1 | 0 | 1 | 0 | 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
Direct9 labelsNone
Paraphrase5 labelsNone
Comparative17 labels1not counted in share
Budget-constrained4 labels1
Scale-constrained6 labels1
Negative8 labelsNone
First choiceAlternativeMentionNegative49 labels in all, every segment counted; 2 of the 3 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.
“the most cited MDR leaders in 2025-2026 are CrowdStrike, Expel and Red Canary” Muse Glimmer 30B · MDR · comparative prompt · first choice
“Best for: Organizations with mature detection engineering teams that want a flexible, tool-agnostic partner” DeepSeek V4 Flash · MDR · comparative prompt · alternative
“Red Canary offers a similar premium experience but can overlay across Microsoft Defender or SentinelOne” Gemini 3.5 Flash · MDR · direct prompt · alternative
“Pioneers in behavioral detection engineering... human-verifying alerts before pushing them to your team” Gemini 3.5 Flash · MDR · 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.
No model argued against it.
Named alongside
The products named in the same answers as Red Canary, over the 49 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Red Canary was named but was not.ShowHide
Named alongside
The products named in the same answers as Red Canary, over the 49 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Red Canary 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 Red Canary. 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 48 of the 49 answers that named Red Canary and are not a share of its labels.
Domains cited
mdrproviders.io22
huntress.com21
intezer.com18
gbhackers.com16
kaseya.com16
rapid7.com15
cynet.com14
expel.com13
gartner.com13
sentinelone.com13
161 of the 161 domain citations in answers naming Red Canary came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
zscaler.com is not in Google's top ten for any of the category's searches. In the answers, Red Canary takes 0% of first choices and Arctic Wolf Managed Detection and Response takes 37%.ShowHide
Search and answers
zscaler.com is not in Google's top ten for any of the category's searches. In the answers, Red Canary takes 0% of first choices and Arctic Wolf Managed Detection and Response takes 37%.
ShowHideIn search
Google, US estimatesPosition for “mdr service”
–
not in the top ten
Position for “mdr services”
–
not in the top ten
- Searches for its name, Google
- 4,400 a month (“red canary”)
- AI search demand for its name, est.
- 232 a month
- Organic visits to its site
- about 103,886 a month
- Searches its site ranks for
- 10,238 · 1,697 in the top three
- Sites linking to it
- 19,207
- Paid Google search
- 16 searches its ads show for, about 426 clicks and $9,116 a month (estimate)
In answers
This editionShare of first choices
0%
rank 13 of 67 in MDR
Segment leader
37%
Arctic Wolf Managed Detection and Response
- First choices
- 2 across its categories
- Named in
- 49 answers
- Its own site cited
- in 48 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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on zscaler.com
4,183
subdomains included
Content
33
counted in the table below
Documentation
4,114
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 8 | 3 | 2026-09-09 | SASE | |
| Case study | 6 | 1 | 2026-08-24 | ||
| Conference or event | 6 | undated | |||
| Comparison | 5 | undated | |||
| Glossary or explainer | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-09Ai raising stakes soc here s what comes next blog
- 2026-08-24How deception helps amex global business travel trap autonomous ai attacks case study
- 2026-08-11Hidden threat your software development lifecycle why self hosted runners blog
- 2026-07-13Formula one and cybersecurity ai era blog
- 2026-06-25Ai paradox earn enough trust move fast you have trust nothing blog
- 2026-01-27Ai now default enterprise accelerator takeaways threatlabz 2026 ai security blog
How it is countedHide how it is counted
Every page zscaler.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow Red Canary
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.
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 Red Canary'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 Red Canary, 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 Red Canary by email, built from the raw record of the edition. It shows:
- where Red Canary 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 Red Canary, 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.