Index › Products › DeepKeep · October 2026 Edition

1 category · Named, not ranked

DeepKeep

1Judge labels

1First choices

0Negative labels

1 / 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

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. DeepKeep was named 1 time in AI security, where SentinelOne Singularity led with 11%. 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-market25 of 233

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ai security · 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 DeepKeep 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 security platforms	Security operations	2%	25 of 233	0%	1	under 10 labels · led by SentinelOne Singularity at 11%

Movement

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

ShowHide

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

Paraphrase1 label1

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative1 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.

“For most mid-sized B2B companies starting out, DeepKeep gives you LLM guardrails + employee usage governance in a mid-market friendly cloud model” Muse Glimmer 30B · AI security · paraphrase 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 DeepKeep, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and DeepKeep was named but was not.

ShowHide

ProductSame answerTook the first choice insteadHead to head

CrowdStrike Falcon AIDR1 of 10Not among the top eight

Nightfall AI1 of 10Not among the top eight

Palo Alto Networks AI Access Security1 of 10Not 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 DeepKeep. 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 1 of the 1 answers that named DeepKeep and are not a share of its labels.

Domains cited

acronis.com1

buildmvpfast.com1

cloudsecurityalliance.org1

cybersectools.com1

f6s.com1

learn.microsoft.com1

mindgard.ai1

neuraltrust.ai1

nightfall.ai1

protecto.ai1

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

Pages cited

acronis.com/en/blog/posts/best-ai-security-tools-smb1

buildmvpfast.com/blog/compliance-security-tools-ai-enterprises1

cloudsecurityalliance.org/artifacts/using-zero-trust-to-secure-enterprise-information-in-l1

cybersectools.com/resources/shortlists/best-ai-security-tools1

cybersectools.com/tools/deepkeep1

f6s.com/software/category/generative-ai-security1

learn.microsoft.com/en-us/ai/playbook/technology-guidance/generative-ai/mlops-in-openai/se1

mindgard.ai/blog/best-ai-security-tools-for-llm-and-genai1

Pages are listed as the models cited them.

Follow DeepKeep

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

where DeepKeep 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 DeepKeep, 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.