Index › Products › IBM AI Fairness 360 · October 2026 Edition

IBM · 1 category · Named, not ranked

IBM AI Fairness 360

6Judge labels

0First choices

1Negative labels

5 / 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 AI Fairness 360 was named 4 times in AI governance, where Credo AI led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business65 of 144

under the label threshold

Mid-market61 of 135

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ai governance · 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 AI Fairness 360 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 governance platforms	Data platform	0%	61 of 135	25%	4	under 10 labels · led by Credo AI at 18%

Movement

This is the first edition on this tier, so no move can be computed for IBM AI Fairness 360 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 AI Fairness 360 across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	0	1
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	0	1	2
Mistral Small	1	0	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

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 labelNone

Comparative0 labelsNone

Budget-constrained4 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative6 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.

“If you need to start with free tools, IBM AI Fairness 360 and Google Model Cards are excellent for specific aspects” Mistral Small · AI governance · budget prompt · alternative

“Free bias detection, explainability (integrates with Python frameworks).” Grok 4.1 Fast · AI governance · budget 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.

“Cited as an example of a "faulty fix." Measurement methods were unsuitable outside original contexts, lacking quality assurance.” Grok 4.1 Fast · AI governance · negative prompt · hard negative

Named alongside

The products named in the same answers as IBM AI Fairness 360, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM AI Fairness 360 was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Strac3 of 63Not among the top eight

Qlik Staige3 of 61Not among the top eight

Credo AI2 of 61Not among the top eight

VerifyWise2 of 61Not among the top eight

MLflow Model Registry2 of 60Not among the top eight

OneTrust AI Governance2 of 60Not among the top eight

Arize AI1 of 61Not among the top eight

Bifrost1 of 61Not among the top eight

Govern3651 of 61Not among the top eight

Zelkir1 of 61Not 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 AI Fairness 360. 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 6 of the 6 answers that named IBM AI Fairness 360 and are not a share of its labels.

Domains cited

infomineo.com5

peoplemanagingpeople.com4

strac.io4

dancumberlandlabs.com3

github.com3

privacyforge.io3

respan.ai3

aimultiple.com2

aiopsschool.com2

cake.ai2

Thirty-one of the thirty-one domain citations in answers naming IBM AI Fairness 360 came from somebody else's page.

Pages cited

infomineo.com/artificial-intelligence/best-ai-governance-tools-in-2026-top-platforms-compa5

peoplemanagingpeople.com/tools/best-ai-governance-tools4

strac.io/blog/best-ai-governance-tools-and-software4

dancumberlandlabs.com/blog/ai-governance-tools3

github.com/aglio-lab/ai-governance-tools3

privacyforge.io/resources/blog/best-ai-governance-software-ecommerce-smb3

respan.ai/articles/ai-governance-tools3

aimultiple.com/ai-governance-tools2

Pages are listed as the models cited them.

Follow IBM AI Fairness 360

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 AI Fairness 360.

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On record

Company records

Also from IBM: IBM API Connect, IBM Apptio Cloudability, IBM Aspera, IBM Aspera Managed File Transfer, IBM Business Automation Workflow, IBM Cloud Databases, IBM Cloud Kubernetes, IBM Cloud Kubernetes Service and 98 more

In its own words

Stated by the vendor, not checked

Customers named: KPMGIBM HRthe US Open
Not stated on the pages read: Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What IBM AI Fairness 360's own pages state, read October 6, 2026: ibm.com/think/insights/how-ibm-makes-ai-based-on-trust-fairness-and-explainability. 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 AI Fairness 360'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 AI Fairness 360, 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 AI Fairness 360 by email, built from the raw record of the edition. It shows:

where IBM AI Fairness 360 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 AI Fairness 360, 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.