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

Azure WAF

35Judge labels
0First choices
10Negative labels
11 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 WAF for enterprise buyers
Rank 18 of 87 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 22% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In waf · 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 Azure WAF 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
Web application firewallsNetwork and edge0%18 of 8722%9under 10 labels · led by Cloudflare at 55%

Movement

This is the first edition on this tier, so no move can be computed for Azure WAF 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 Azure WAF across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash01304
Perplexity Sonar01001
Grok 4.1 Fast00011
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
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
Direct7 labelsNone
Paraphrase3 labelsNone
Comparative5 labelsNone
Budget-constrained5 labelsNone
Scale-constrained7 labelsNone
Negative8 labels1not counted in share
First choiceAlternativeMentionNegative35 labels in all, every segment counted; 0 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.

“AWS WAF or Azure WAF: Best if your infrastructure is concentrated entirely in one public cloud” Gemini 3.5 Flash · WAF · scale prompt · alternative
“strongest for single-cloud-native stacks rather than general-purpose mid-market use” Perplexity Sonar · WAF · direct prompt · alternative
“AWS WAF or Azure WAF win for single-cloud native stacks” Claude Haiku 4.5 · WAF · 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.

“Extreme false positives (54%+), blocks legit traffic; struggles with balance despite good detection (~97%).” Grok 4.1 Fast · WAF · negative prompt · soft negative
“Azure WAF | ✅ Vulnerable” Kimi K2 · WAF · negative prompt · soft negative

Named alongside

The products named in the same answers as Azure WAF, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure WAF was named but was not.
ProductSame answerTook the first choice insteadHead to head
AWS WAF32 of 350Not in the top three
Cloudflare25 of 3515Not in the top three
Imperva14 of 351Not in the top three
Akamai14 of 350Not in the top three
Fastly8 of 351Not in the top three
ModSecurity8 of 350Not in the top three
Cloudflare WAF7 of 355Not in the top three
F57 of 350Not in the top three
Sucuri7 of 350Not in the top three
Fastly Next-Gen WAF5 of 350Not 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 Azure WAF. 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 21 of the 35 answers that named Azure WAF and are not a share of its labels.

Domains cited

wafplanet.com13
cybersecuritynews.com12
cyberpress.org10
expertinsights.com9
comparitech.com8
g2.com8
openappsec.io8
imperva.com7
fastly.com6
geekflare.com6

Eighty-seven of the eighty-seven domain citations in answers naming Azure WAF 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 Azure WAF'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 Azure WAF, 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 azure.cn 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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