Every category where a model named Cowrie 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
Deception technology	Security operations	0%	25 of 94	22%	9	under 10 labels · led by Thinkst Canary at 37%

Movement

This is the first edition on this tier, so no move can be computed for Cowrie yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Cowrie across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	2	0	0	2
Grok 4.1 Fast	0	0	1	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	1	0	1	2
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	1	0	0	1
GLM 4.7 FlashX	2	0	0	2
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	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

Paraphrase10 labelsNone

Comparative1 labelNone

Budget-constrained8 labelsNone

Scale-constrained0 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative23 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.

“Cowrie (SSH/Telnet deception) can work — but you'll own the maintenance” DeepSeek V4 Flash · Deception · paraphrase prompt · alternative

“Combine Cowrie + Dionaea + Canarytokens for layered coverage” Kimi K2 · Deception · budget prompt · alternative

“an open-source honeypot/honeytoken setup like OpenCanary or Cowrie” Perplexity Sonar · Deception · budget prompt · alternative

“Use Cowrie or a low‑interaction service emulator for SSH/Telnet” GLM 4.7 FlashX · Deception · 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.

“build-your-own options, but they lack the centralized management and automation of commercial platforms” DeepSeek V4 Flash · Deception · comparative prompt · soft negative

“Single-protocol focus; needs integration work.” Grok 4.1 Fast · Deception · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Cowrie, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Cowrie was named but was not.

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ProductSame answerTook the first choice insteadHead to head

OpenCanary18 of 236Not among the top eight

Thinkst Canary17 of 239Not among the top eight

T-Pot17 of 230Not among the top eight

Acalvio ShadowPlex8 of 231Not among the top eight

Dionaea7 of 230Not among the top eight

Canarytokens5 of 231Not among the top eight

Trapster5 of 231Not among the top eight

Tracebit5 of 230Not among the top eight

HoneyWire4 of 231Not among the top eight

Zscaler Deception3 of 230Not among the top eight

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 Cowrie. 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 23 of the 23 answers that named Cowrie and are not a share of its labels.

Domains cited

guideflow.com14

securityhive.io14

sourceforge.net11

canary.tools10

devopsschool.com10

trapster.cloud10

cybersectools.com9

expertinsights.com9

us.fitgap.com9

vendr.com9

No domain is on file for Cowrie, so its own site is not marked.

Pages cited

guideflow.com/blog/honeypot-software12

securityhive.io/blog/best-honeypot-solutions-in-202511

canary.tools/10

devopsschool.com/blog/top-10-deception-technology-tools-features-pros-cons-comparison10

expertinsights.com/network-security/best-deception-technology-companies9

sourceforge.net/software/deception-technology/for-small-business9

trapster.cloud/en/blog/best-honeypots9

vendr.com/marketplace/thinkst-canary9

Pages are listed as the models cited them.

Search and answers

Where Cowrie stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 9,900 a month (“cowrie”)
AI search demand for its name, est.: 2,326 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 25 of 94 in deception

Segment leader

37%

Thinkst Canary

First choices: 0 across its categories
Named in: 23 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 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 Cowrie

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 Cowrie'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 Cowrie, 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 Cowrie by email, built from the raw record of the edition. It shows:

where Cowrie 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 Cowrie, 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.