Index › Products › AiSOC · October 2026 Edition

1 category · Named, not ranked

AiSOC

5Judge labels

1First choices

0Negative labels

5 / 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

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. AiSOC was named 5 times in AI SOC agents, where Dropzone AI led with 24%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market16 of 104

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ai soc agents · 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 AiSOC 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
AI SOC agents	Security operations	2%	16 of 104	0%	5	under 10 labels · led by Dropzone AI at 24%

Movement

This is the first edition on this tier, so no move can be computed for AiSOC 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 AiSOC across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	0	0	0
GPT-6 Luna	0	1	1
Muse Glimmer 30B	1	0	1

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained5 labels1

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative5 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.

“Zero software spend and internal technical capacity: AiSOC or Wazuh + Elastic + a community LLM triage workflow. You pay infrastructure only.” Muse Glimmer 30B · AI SOC agents · budget prompt · first choice

“AiSOC is a MIT-licensed, self-hostable AI SOC that handles alert fusion, LLM-agent triage, and MITRE ATT&CK investigations.” Gemini 3.5 Flash · AI SOC agents · budget prompt · alternative

“Self-hostable AI agents for threat ingestion... newer, so verify maturity via GitHub.” Grok 4.1 Fast · AI SOC agents · budget prompt · alternative

“I'd trial AiSOC by Cyble as a budget-conscious standalone option.” GPT-6 Luna · AI SOC agents · 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 AiSOC, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AiSOC was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Dropzone AI4 of 50Not among the top eight

Huntress Managed EDR3 of 50Not among the top eight

Microsoft Sentinel3 of 50Not among the top eight

Security Copilot3 of 50Not among the top eight

Vigil2 of 51Not among the top eight

Wazuh2 of 51Not among the top eight

Elastic Security2 of 50Not among the top eight

Radiant Security2 of 50Not among the top eight

Microsoft Security Copilot1 of 51Not among the top eight

Talon1 of 51Not 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 AiSOC. 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 5 of the 5 answers that named AiSOC and are not a share of its labels.

Domains cited

github.com4

underdefense.com4

agentery.com2

dropzone.ai2

panther.com2

resources.rework.com2

us.fitgap.com2

vigilsoc.org2

beaglesecurity.com1

beenuar.github.io1

Twenty-two of the twenty-two domain citations in answers naming AiSOC came from somebody else's page.

Pages cited

github.com/beenuar/AiSOC4

underdefense.com/blog/ai-soc-for-mid-market3

underdefense.com/blog/most-affordable-ai-soc-platforms3

agentery.com/market/ai-soc-platform2

github.com/topics/security-operations2

resources.rework.com/tools/ai-agents/best-ai-agents-for-cybersecurity-20262

underdefense.com/blog/ai-soc-for-smb2

us.fitgap.com/search/ai-soc-agents/small-business2

Pages are listed as the models cited them.

Names read as AiSOC

What the judge wrote, as written, with how often. The vendor table decides that these count as AiSOC; a claim can dispute any of them.

AiSOC (GitHub: beenuar/AiSOC) 1AiSOC by Cyble 1AiSOC by beenuar 1

Follow AiSOC

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

where AiSOC 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 AiSOC, 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.