Every category where a model named Varonis 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
Data loss prevention	Security operations	0%	15 of 84	0%	10	accepted challenger
SIEM platforms	Security operations	0%	46 of 49	100%	1	under 10 labels · led by Microsoft Sentinel at 41%

Movement

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

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	2	0	2
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	1	1	0	2
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	1	0	1
Llama 4 Maverick	0	2	0	2
Qwen 3.7 Flash	2	0	0	2
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	1	1
MiniMax M2.5	0	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

Direct2 labelsNone

Paraphrase2 labelsNone

Comparative5 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative8 labelsNone

First choiceAlternativeMentionNegative20 labels in all, every segment counted; 0 of the 0 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 smaller/mid-size businesses: Look at Microsoft Purview (if heavily invested in M365) or Varonis (strong at-rest analytics)” Qwen 3.7 Flash · DLP · negative prompt · alternative

“Prefer modern alternatives: Look at contextual/ML-driven options (e.g., Netskope, Zscaler, Varonis) rated higher” Grok 4.1 Fast · DLP · negative prompt · alternative

“The Best for Data Discovery (Unstructured Data): Varonis” Qwen 3.7 Flash · DLP · paraphrase 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.

“On‑prem Data Security Platform – EOL 31 December 2026” GLM 4.7 FlashX · SIEM · negative prompt · hard negative

Named alongside

The products named in the same answers as Varonis, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Varonis was named but was not.

ProductSame answerTook the first choice insteadHead to head

Forcepoint DLP17 of 203Not in the top three

Microsoft Purview DLP16 of 205Not in the top three

Netskope DLP14 of 200Not in the top three

Symantec Data Loss Prevention12 of 200Not in the top three

Proofpoint Enterprise DLP11 of 201Not in the top three

Zscaler10 of 200Not in the top three

Cyberhaven5 of 201Not in the top three

Nightfall AI4 of 200Not in the top three

Safetica4 of 200Not in the top three

Strac3 of 201Not 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 Varonis. 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 14 of the 20 answers that named Varonis and are not a share of its labels.

Domains cited

gartner.com13

strac.io8

currentware.com7

g2.com6

learn.g2.com6

decryptiondigest.com5

miniorange.com5

netwrix.com5

proofpoint.com5

reddit.com5

Sixty-five of the sixty-five domain citations in answers naming Varonis came from somebody else's page.

Pages cited

gartner.com/reviews/market/data-loss-prevention12

currentware.com/blog/best-data-loss-prevention-software7

learn.g2.com/best-data-loss-prevention-software6

decryptiondigest.com/blog/dlp-tools-comparison5

miniorange.com/blog/top-data-loss-prevention-tools5

forcepoint.com/blog/insights/best-dlp-software4

netwrix.com/en/resources/blog/dlp-solutions4

safetica.com/resources/blogs/top-data-loss-prevention-software-in-20244

Pages are listed as the models cited them.

Names read as Varonis

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

Varonis (On‑Prem) 1

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 Varonis'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 Varonis, 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 varonis.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.