Index › Products › FortiNDR · October 2026 Edition

1 category · Named, not ranked

FortiNDR

11Judge labels

1First choices

1Negative labels

6 / 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. FortiNDR was named 3 times in NDR, where ManageEngine NetFlow Analyzer led with 21%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business15 of 118

under the label threshold

Mid-market25 of 102

under the label threshold

Enterprise50 of 103

under the label threshold

In ndr · 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 FortiNDR 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
Network detection and response	Security operations	0%	25 of 102	0%	3	under 10 labels · led by ManageEngine NetFlow Analyzer at 21%

Movement

This is the first edition on this tier, so no move can be computed for FortiNDR 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 FortiNDR 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	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	1	1
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	1	1
MiniMax M2.5	0	0
GPT-6 Luna	1	1
Muse Glimmer 30B	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

Direct3 labels1

Paraphrase0 labelsNone

Comparative5 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative11 labels in all, every segment counted; 1 of the 1 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 for: Mid‑market teams that prefer a consolidated security platform” GLM 4.7 FlashX · NDR · direct prompt · alternative

“A natural candidate for organizations using Fortinet already” GPT-6 Luna · NDR · comparative prompt · alternative

“Best if you already use Fortinet: FortiNDR” GPT-5.4 mini · NDR · budget 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 FortiNDR, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and FortiNDR was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Darktrace9 of 113Not among the top eight

Corelight Open NDR9 of 111Not among the top eight

Vectra AI8 of 111Not among the top eight

Cisco Secure Network Analytics7 of 111Not among the top eight

ExtraHop RevealX5 of 111Not among the top eight

ExtraHop Reveal3 of 111Not among the top eight

Sophos NDR2 of 112Not among the top eight

Arista NDR2 of 110Not among the top eight

Trend Vision One2 of 110Not among the top eight

Trend Vision One XDR for Networks2 of 110Not 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 FortiNDR. 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 11 of the 11 answers that named FortiNDR and are not a share of its labels.

Domains cited

vectra.ai7

gartner.com6

fortinet.com5

g2.com5

comparitech.com4

cybersecuritynews.com4

extrahop.com4

ciopages.com3

corelight.com3

darktrace.com3

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

Pages cited

fortinet.com/products/network-detection-and-response5

comparitech.com/net-admin/network-detection-response-software4

cybersecuritynews.com/best-ndr-solutions4

ciopages.com/buyer-guides/network-detection-response3

gartner.com/reviews/market/network-detection-and-response3

vectra.ai/platform3

cyberpress.org/ndr-tools-by-use-case2

extrahop.com/platform/revealx2

Pages are listed as the models cited them.

Follow FortiNDR

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

where FortiNDR 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 FortiNDR, 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.