IT AI Index
Index Vendors › Amazon GuardDuty · September 2026 Edition
Amazon · 2 categories · Named, not ranked

Amazon GuardDuty

17Judge labels
5First choices
2Negative labels
9 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Amazon GuardDuty was named 4 times in Threat intel and 1 other category, where NordStellar led with 13%. The labels and the evidence are below, counted exactly.
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 Amazon GuardDuty 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 operations4%12 of 1280%2under 10 labels · led by NordStellar at 13%
Cloud-native application protectionCloud and infrastructure0%26 of 570%2under 10 labels · led by Wiz at 46%

Movement

This is the first edition on this tier, so no move can be computed for Amazon GuardDuty 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 Amazon GuardDuty 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 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small10001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash10001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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 labelsNone
Paraphrase2 labelsNone
Comparative0 labelsNone
Budget-constrained9 labels5
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 5 of the 5 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.

“Amazon GuardDuty is highlighted as a strong all-round pick for small businesses, offering robust threat detection at a reasonable cost” Mistral Small · Threat intel · budget prompt · first choice
“Verdict: Best all-around pick for SMBs using cloud infrastructure.” Qwen 3.7 Flash · Threat intel · budget prompt · first choice

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 Amazon GuardDuty, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon GuardDuty was named but was not.
ProductSame answerTook the first choice insteadHead to head
Microsoft Defender for Cloud9 of 173Not in the top three
VirusTotal7 of 172Not in the top three
Wiz7 of 172Not in the top three
NordStellar7 of 171Not in the top three
Prisma Cloud7 of 170Not in the top three
AlienVault OTX5 of 171Not in the top three
MISP5 of 171Not in the top three
Deepinfo5 of 170Not in the top three
GreyNoise5 of 170Not in the top three
Abuse.ch4 of 170Not 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 Amazon GuardDuty. 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 14 of the 17 answers that named Amazon GuardDuty and are not a share of its labels.

Domains cited

b2breviews.com9
sourceforge.net9
spotsaas.com9
learn.g2.com7
expertinsights.com5
upguard.com5
vectra.ai5
aikido.dev4
cyberpress.org4
gbhackers.com4

Sixty-one of the sixty-one domain citations in answers naming Amazon GuardDuty came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Amazon GuardDuty

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon GuardDuty; a claim can dispute any of them.
AWS GuardDuty 1GuardDuty 1
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 Amazon GuardDuty'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 Amazon GuardDuty, 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 amazon.com 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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