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Index › Products › Vigil · October 2026 Edition
2 categories · Named, not ranked

Vigil

5Judge labels
2First choices
0Negative labels
4 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, 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. Vigil was named 4 times in AI SOC agents and 1 other category, 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.
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 Vigil 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 rateLabelsQuadrantSince September 2026
AI SOC agentsSecurity operations4%8 of 1040%3under 10 labels · led by Dropzone AI at 24%
AI security platformsSecurity operations0%196 of 2330%1under 10 labels · led by SentinelOne Singularity at 11%

Movement

This is the first edition on this tier, so no move can be computed for Vigil 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 Vigil across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash10001
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K210001
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained4 labels2
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative5 labels in all, every segment counted; 2 of the 2 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.

“If you have technical IT/Security staff but \$0 software budget: Deploy Vigil or Talon” Gemini 3.5 Flash · AI SOC agents · budget prompt · first choice
“Best Free/Open-Source AI SOC: Vigil ... License: Apache 2.0 — $0” Kimi K2 · AI SOC agents · budget prompt · first choice
“If technical: Deploy AiSOC or Vigil (free, self-hosted)” GLM 4.7 FlashX · 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 Vigil, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Vigil was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Intezer AI SOC2 of 51Not among the top eight
UnderDefense Agentic AI SOC2 of 51Not among the top eight
AiSOC2 of 50Not among the top eight
Dropzone AI2 of 50Not among the top eight
Huntress Managed EDR2 of 50Not among the top eight
Microsoft Sentinel2 of 50Not among the top eight
Radiant Security2 of 50Not among the top eight
Security Copilot2 of 50Not among the top eight
Talon2 of 50Not among the top eight
AirMDR1 of 50Not 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 Vigil. 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 4 of the 5 answers that named Vigil and are not a share of its labels.

Domains cited

underdefense.com4
vigilsoc.org4
deeptempo.ai2
dropzone.ai2
github.com2
linkedin.com2
reliaquest.com2
youtube.com2
agentery.com1
aimultiple.com1

No domain is on file for Vigil, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Names read as Vigil

What the judge wrote, as written, with how often. The vendor table decides that these count as Vigil; a claim can dispute any of them.
Vigil (by DeepTempo) 1

Follow Vigil

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

  • where Vigil 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 Vigil, 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.

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.