IT AI Index
Index Vendors › Huntress · September 2026 Edition
2 categories · Ranked

Huntress

33Judge labels
4First choices
1Negative labels
8 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.
Best standing
4% in Endpoint protection for small business buyers
Rank 23 of 99 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 4 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In endpoint protection · 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 Huntress 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
Endpoint protectionIT operations and endpoint0%23 of 990%4under 10 labels · led by Microsoft Defender for Cloud at 22%
SIEM platformsSecurity operations0%25 of 490%1under 10 labels · led by Microsoft Sentinel at 41%

Movement

This is the first edition on this tier, so no move can be computed for Huntress 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 Huntress across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar00000
Grok 4.1 Fast02002
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
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
Direct9 labels2
Paraphrase3 labelsNone
Comparative5 labels1not counted in share
Budget-constrained0 labelsNone
Scale-constrained8 labels2
Negative8 labels1not counted in share
First choiceAlternativeMentionNegative33 labels in all, every segment counted; 4 of the 6 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.

“The most practical, low-overhead security insurance policy for mid-market B2B companies that want human-backed security on a tight budget.” Gemini 3.5 Flash · Endpoint protection · direct prompt · alternative
“opt for Managed Detection and Response (MDR) solutions (such as *Huntress, Sophos MDR, or CrowdStrike Falcon Complete*)” Gemini 3.5 Flash · Endpoint protection · negative prompt · alternative
“| Managed/MDR (e.g., Blumira, Huntress) | Includes staffing | Vendor lock-in” Grok 4.1 Fast · SIEM · scale prompt · alternative
“No security team: Sophos or Huntress (managed EDR add-on).” Grok 4.1 Fast · Endpoint protection · direct 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 Huntress, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Huntress was named but was not.
ProductSame answerTook the first choice insteadHead to head
SentinelOne12 of 330Not in the top three
Microsoft Sentinel11 of 333Not in the top three
Microsoft Defender for Cloud10 of 335Not in the top three
CrowdStrike9 of 330Not in the top three
Blumira8 of 335Not in the top three
Bitdefender GravityZone8 of 331Not in the top three
Wazuh8 of 330Not in the top three
CrowdStrike Falcon7 of 331Not in the top three
Splunk7 of 330Not in the top three
Elastic Security5 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 Huntress. 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 33 answers that named Huntress and are not a share of its labels.

Domains cited

huntress.comYour site11
gartner.com10
reddit.com9
gbhackers.com8
cnicsolutions.com7
sentinelone.com7
cyberpress.org6
paloaltonetworks.com6
peerspot.com6
solutionsinsider.com6

Sixty-five of the seventy-six domain citations in answers naming Huntress 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 Huntress'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 Huntress, 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 huntress.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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