IT AI Index

Index › Products › Salesforce Data Mask · October 2026 Edition

1 category · Named, not ranked

Salesforce Data Mask

10Judge labels

0First choices

2Negative labels

7 / 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

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Salesforce Data Mask was named 2 times in Data masking, where DATPROF led with 17%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business35 of 152

under the label threshold

Mid-market77 of 140

under the label threshold

Enterprise65 of 126

under the label threshold

In data masking · 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 Salesforce Data Mask 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
Data masking and test data management	Data platform	0%	77 of 140	0%	2	under 10 labels · led by DATPROF at 17%

Movement

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

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Model	Mention	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	1	1
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

Direct5 labelsNone

Paraphrase0 labelsNone

Comparative3 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative10 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.

No positive label carried a quote.

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 Salesforce Data Mask, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Data Mask was named but was not.

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ProductSame answerTook the first choice insteadHead to head

IRI FieldShield7 of 104Not among the top eight

IBM InfoSphere Optim5 of 100Not among the top eight

Oracle Data Masking and Subsetting5 of 100Not among the top eight

Delphix4 of 102Not among the top eight

Tonic.ai4 of 101Not among the top eight

K2View Test Data Management4 of 100Not among the top eight

Informatica Intelligent Data Management Cloud3 of 101Not among the top eight

Informatica Persistent Data Masking3 of 101Not among the top eight

Delphix Data Masking3 of 100Not among the top eight

Microsoft SQL Server3 of 100Not 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 Salesforce Data Mask. 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 10 of the 10 answers that named Salesforce Data Mask and are not a share of its labels.

Domains cited

atlan.com9

ovaledge.com9

hevodata.com8

outsourceaccelerator.com8

g2.com7

coefficient.io6

datastackhub.com6

iri.com6

fivetran.com5

k2view.com5

Sixty-nine of the sixty-nine domain citations in answers naming Salesforce Data Mask came from somebody else's page.

Pages cited

atlan.com/data-masking-tools9

ovaledge.com/blog/data-masking-tools9

hevodata.com/learn/data-masking-tools8

outsourceaccelerator.com/articles/data-masking-tools8

coefficient.io/data-masking-tools6

datastackhub.com/top-tools/data-masking-tools6

iri.com/support/data-education-center/the-top-15-data-masking-tools-in-20266

fivetran.com/learn/data-masking-software5

Pages are listed as the models cited them.

Search and answers

salesforce.com ranks 7 on Google for the category's searches. In the answers, Salesforce Data Mask takes 0% of first choices and DATPROF takes 17%.

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In search

Google, US estimates

Position for “data masking tool”

–

not in the top ten

Position for “data masking tools”

Searches for its name, Google: 210 a month (“salesforce data mask”)
AI search demand for its name, est.: 5 a month
Organic visits to its site: about 7,941,323 a month
Searches its site ranks for: 242,877 · 49,522 in the top three
Sites linking to it: 211,946
Paid Google search: 14 searches its ads show for, about 363 clicks and $8,259 a month (estimate)

Ads on GoogleDetailLess

115+ ads · 114 text, 1 image · 115 shown in the last 30 days

First shown April 2024, as Salesforce, Inc., verified. Ads started 2025-10 to 2026-09: 79 in the year, 36 before. 5 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 77 of 140 in data masking

Segment leader

17%

DATPROF

First choices: 0 across its categories
Named in: 10 answers
Its own site cited: in 10 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on salesforce.com

10,996

subdomains included

Content

710

counted in the table below

Documentation

Product · Integration

270 · 37

Kind	Pages	Last 90 days	Latest
Glossary or explainer	252	0	2025-06-17
Blog	225	4	2026-09-17
Case study	98	undated
Comparison	44	0	2026-04-23
News or press	35	20	2026-09-24
Report or ebook	29	1	2026-09-09
Template or tool	11	0	2026-03-09
Conference or event	8	1	2026-09-08
Webinar or virtual event	4	undated
Podcast or video	4	1	2026-09-17

Most recent

2026-09-24Five dreamforce 2026 takeaways news or press
2026-09-23Higher education ai agents news or press
2026-09-17What does salesforce do blog
2026-09-17Building the agentic enterprise secrets from early adopters podcast or video
2026-09-16Why we post trained our own reasoning model news or press
2026-09-16Missionsforce expansion agents nvidia openai partnerships news or press

How it is countedHide how it is counted

Every page salesforce.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as Salesforce Data Mask

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

Salesforce Data Mask Cloud 1

Follow Salesforce Data Mask

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.

The company

Salesforce Data Mask is its own company.

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In its own words

Stated by the vendor, not checked

Free plan or trial: 30 days of free access salesforce.com/customer-stories
Customers named: EngineGood360PrecinareMarkablePepsicoPandoraWilliams SonomaMrBeast
Not stated on the pages read: Positioning, who it is for, price, starting price, integrations, certifications, hosting

What Salesforce Data Mask's own pages state, read October 5, 2026: salesforce.com, salesforce.com/pricing, trust.salesforce.com, salesforce.com/products, salesforce.com/customer-stories. A claimed page can correct any of 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 Salesforce Data Mask'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 Salesforce Data Mask, 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 Salesforce Data Mask by email, built from the raw record of the edition. It shows:

where Salesforce Data Mask 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 Salesforce Data Mask, 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.