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Index › Products › IBM InfoSphere Optim Data Privacy · October 2026 Edition
IBM · 1 category · Named, not ranked

IBM InfoSphere Optim Data Privacy

17Judge labels
3First choices
4Negative labels
8 / 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
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. IBM InfoSphere Optim Data Privacy was named 4 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.
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 IBM InfoSphere Optim Data Privacy 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 platform0%24 of 1400%4under 10 labels · led by DATPROF at 17%

Movement

This is the first edition on this tier, so no move can be computed for IBM InfoSphere Optim Data Privacy 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 IBM InfoSphere Optim Data Privacy 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 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
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
Direct3 labels2
Paraphrase0 labelsNone
Comparative7 labels1not counted in share
Budget-constrained3 labels1
Scale-constrained0 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 3 of the 4 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.

“Other good options include Informatica Data Privacy Tool and IBM Infosphere Optim Data privacy, although they are more suited for large enterprises.” Llama 4 Maverick · Data masking · direct prompt · alternative
“is a budget-savvy option for companies that have already invested in IBM technologies” Claude Haiku 4.5 · Data masking · budget prompt · alternative
“Mainframe + legacy system coverage | IBM InfoSphere Optim” DeepSeek V4 Flash · Data masking · comparative prompt · alternative
“Real-time production protection | IBM InfoSphere” Kimi K2 · Data masking · comparative 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 IBM InfoSphere Optim Data Privacy, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM InfoSphere Optim Data Privacy was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Oracle Data Masking and Subsetting12 of 171Not among the top eight
Delphix10 of 172Not among the top eight
Informatica Data Privacy Tool6 of 170Not among the top eight
DATPROF5 of 173Not among the top eight
Informatica Data Masking4 of 170Not among the top eight
Microsoft SQL Server Dynamic Data Masking4 of 170Not among the top eight
FieldShield3 of 171Not among the top eight
IRI FieldShield3 of 171Not among the top eight
Accutive Data Discovery & Masking3 of 170Not among the top eight
Fogger3 of 170Not 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 IBM InfoSphere Optim Data Privacy. 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 17 of the 17 answers that named IBM InfoSphere Optim Data Privacy and are not a share of its labels.

Domains cited

softwaretestinghelp.com14
hevodata.com13
ovaledge.com12
atlan.com9
outsourceaccelerator.com9
k2view.com8
checkthat.ai7
datastackhub.com7
fivetran.com7
iri.com6

Ninety-two of the ninety-two domain citations in answers naming IBM InfoSphere Optim Data Privacy came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where IBM InfoSphere Optim Data Privacy 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 (“ibm infosphere optim data privacy”)
AI search demand for its name, est.
0 a month
Its own site
It sits on IBM's site (ibm.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
0%
rank 24 of 140 in data masking
Segment leader
17%
DATPROF
First choices
3 across its categories
Named in
17 answers
Its own site cited
in 17 of the answers that named it

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 IBM InfoSphere Optim Data Privacy

What the judge wrote, as written, with how often. The vendor table decides that these count as IBM InfoSphere Optim Data Privacy; a claim can dispute any of them.
IBM Infosphere Optim Data privacy 1

Follow IBM InfoSphere Optim Data Privacy

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

IBM is the company behind IBM InfoSphere Optim Data Privacy.
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In its own words

Stated by the vendor, not checked
Positioning
Policy-driven data protection for security & governance
For
organizations needing sensitive data masking for testing, AI/ML training, secure data sharing, and compliance
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What IBM InfoSphere Optim Data Privacy's own pages state, read October 5, 2026: ibm.com/products/optim, ibm.com/products/optim-data-privacy, ibm.com/products/infosphere-qualitystage, ibm.com/products/infosphere-data-architect, ibm.com/products/optim-test-data-management. 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 IBM InfoSphere Optim Data Privacy'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 IBM InfoSphere Optim Data Privacy, 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 IBM InfoSphere Optim Data Privacy by email, built from the raw record of the edition. It shows:

  • where IBM InfoSphere Optim Data Privacy 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 IBM InfoSphere Optim Data Privacy, 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 ibm.com 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.