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IT AI Index
Index › Products › IRI FieldShield · October 2026 Edition
1 category · Ranked

IRI FieldShield

54Judge labels
18First choices
2Negative labels
13 / 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.
Best standing
22% in Data masking for small business buyers
Rank 3 of 140 in the mid-market standingaccepted challenger
3 of 14 models made it the first choice on the direct prompt; 0% of its 21 labels there were negative.
What the models named instead of IRI FieldShield →
By buyer segmentStrongest at small business.
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 IRI FieldShield 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
Data masking and test data managementData platform9%3 of 1400%21accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for IRI FieldShield 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 IRI FieldShield across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.520103
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar11103
Grok 4.1 Fast00202
Mistral Small00000
DeepSeek V4 Flash10102
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K210203
GLM 4.7 FlashX02002
MiniMax M2.501001
GPT-6 Luna00000
Muse Glimmer 30B03003

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
Direct13 labels10
Paraphrase1 labelNone
Comparative13 labels1not counted in share
Budget-constrained19 labels7
Scale-constrained4 labels1
Negative4 labels2not counted in share
First choiceAlternativeMentionNegative54 labels in all, every segment counted; 18 of the 21 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.

“IRI FieldShield masks structured data across databases and files... offers strong coverage at a mid-market price” Claude Haiku 4.5 · Data masking · direct prompt · first choice
“IRI FieldShield is widely considered the best value option for budget-conscious companies.” Claude Haiku 4.5 · Data masking · budget prompt · first choice
“IRI FieldShield is the strongest low-cost commercial option mentioned in the results” Perplexity Sonar · Data masking · budget prompt · first choice
“IRI FieldShield — *Overall Best for Mid-Market*” DeepSeek V4 Flash · Data masking · direct 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 IRI FieldShield, over the 54 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IRI FieldShield was named but was not.
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ProductSame answerTook the first choice insteadHead to head
PostgreSQL Anonymizer14 of 545Not among the top eight
Informatica Intelligent Data Management Cloud14 of 541Not among the top eight
Microsoft SQL Server13 of 540Not among the top eight
Greenmask12 of 545Not among the top eight
IBM InfoSphere Optim9 of 541Not 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 IRI FieldShield. 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 54 of the 54 answers that named IRI FieldShield and are not a share of its labels.

Domains cited

ovaledge.com46
hevodata.com36
softwaretestinghelp.com35
g2.com33
iri.com33
atlan.com32
sourceforge.net29
outsourceaccelerator.com28
k2view.com26
thectoclub.com21

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

Pages cited

Pages are listed as the models cited them.

Search and answers

Where IRI FieldShield stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
10 a month (“iri fieldshield”)
AI search demand for its name, est.
0 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
9%
rank 3 of 140 in data masking
Segment leader
17%
DATPROF
First choices
18 across its categories
Named in
54 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 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.

Names read as IRI FieldShield

What the judge wrote, as written, with how often. The vendor table decides that these count as IRI FieldShield; a claim can dispute any of them.
IRI FieldShield / DarkShield / Voracity 1IRI FieldShield® 1

Follow IRI FieldShield

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

  • where IRI FieldShield 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 IRI FieldShield, 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.
The subscriber app

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.

Badges

Wins only: a badge exists where IRI FieldShield is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
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IRI FieldShield is among the products AI models recommend first in Data masking and test data management this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-masking-and-test-data/"><img src="https://it-ai-index.com/badges/2026-10/iri-fieldshield--data-masking-and-test-data-wide.svg" alt="Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Data masking and test data management standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-masking-and-test-data/"><img src="https://it-ai-index.com/badges/2026-10/iri-fieldshield--data-masking-and-test-data-square.svg" alt="Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Data masking and test data management standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index
Show the code
<a href="https://it-ai-index.com/it-data/data-masking-and-test-data/"><img src="https://it-ai-index.com/badges/2026-10/iri-fieldshield--data-masking-and-test-data-compact.svg" alt="Among AI models' top three in Data masking and test data management, October 2026 Edition, IT AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Data masking and test data management standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.