IT AI Index
Index Vendors › GreyNoise · September 2026 Edition
1 category · Ranked

GreyNoise

33Judge labels
1First choices
1Negative labels
12 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.
Best standing
0% in Threat intel for small business buyers
Rank 13 of 128 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In threat intel · 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 GreyNoise 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
Threat intelligence platformsSecurity operations2%13 of 1280%9under 10 labels · led by NordStellar at 13%

Movement

This is the first edition on this tier, so no move can be computed for GreyNoise 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 GreyNoise 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 Flash01102
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small10001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash02002
Kimi K201102
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Paraphrase4 labelsNone
Comparative6 labels2not counted in share
Budget-constrained11 labels1
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative33 labels in all, every segment counted; 1 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.

“Start with free or low-cost tools like Amazon GuardDuty or GreyNoise.” Mistral Small · Threat intel · budget prompt · first choice
“CloudSEK or GreyNoise, depending on whether you want broader external risk monitoring or noise reduction” Perplexity Sonar · Threat intel · budget prompt · alternative
“purchase a low-tier GreyNoise or Feedly for CTI subscription to help filter alerts” Gemini 3.5 Flash · Threat intel · budget prompt · alternative
“Frequently recommended for startups and budget-conscious teams” Kimi K2 · Threat intel · 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 GreyNoise, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and GreyNoise was named but was not.
ProductSame answerTook the first choice insteadHead to head
MISP19 of 333Not in the top three
NordStellar17 of 338Not in the top three
Recorded Future16 of 332Not in the top three
AlienVault OTX13 of 333Not in the top three
OpenCTI11 of 334Not in the top three
VirusTotal11 of 333Not in the top three
CloudSEK11 of 330Not in the top three
ThreatConnect10 of 332Not in the top three
SOCRadar8 of 331Not in the top three
Abuse.ch7 of 330Not 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 GreyNoise. 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 26 of the 33 answers that named GreyNoise and are not a share of its labels.

Domains cited

learn.g2.com25
b2breviews.com23
upguard.com17
sourceforge.net16
esecurityplanet.com14
vectra.ai13
spotsaas.com11
analyticsinsight.net10
topbusinesssoftware.com10
cyble.com8

147 of the 147 domain citations in answers naming GreyNoise came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 GreyNoise'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 GreyNoise, 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 greynoise.io 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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