IT AI Index

Index › Vendors › Open Risk Register · September 2026 Edition

1 category · Named, not ranked

Open Risk Register

2Judge labels

0First choices

0Negative labels

2 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Open Risk Register was named 1 time in GRC, where Vanta led with 14%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business45 of 71

under the label threshold

Mid-market42 of 77

under the label threshold

Enterprisenot named

No model named it for this buyer.

In grc · 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 Open Risk Register 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
GRC platforms	Security operations	0%	42 of 77	0%	1	under 10 labels · led by Vanta at 14%

Movement

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

Model	Alternative	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	0	0
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	1	1
MiniMax M2.5	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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative2 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 want a quick start with minimal setup: Try Open Risk Register or GovReady-Q” GLM 4.7 FlashX · GRC · 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.

No model argued against it.

Named alongside

The products named in the same answers as Open Risk Register, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Open Risk Register was named but was not.

ProductSame answerTook the first choice insteadHead to head

CISO Assistant2 of 21Not in the top three

Eramba2 of 21Not in the top three

SimpleRisk2 of 21Not in the top three

Hyperproof2 of 20Not in the top three

RealCISO2 of 20Not in the top three

Ethicontrol1 of 21Not in the top three

Comp AI1 of 20Not in the top three

Deming1 of 20Not in the top three

GovReady-Q1 of 20Not in the top three

OpenGRC1 of 20Not 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 Open Risk Register. 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 2 of the 2 answers that named Open Risk Register and are not a share of its labels.

Domains cited

baserow.io2

brightdefense.com2

infosecflow.com2

openriskregister.orgYour site2

realciso.io2

reddit.com2

simplerisk.com2

capterra.com1

eramba.org1

opengrc.com1

Fifteen of the seventeen domain citations in answers naming Open Risk Register came from somebody else's page.

Pages cited

baserow.io/blog/open-source-grc-tools2

brightdefense.com/resources/grc-tools-for-smbs-and-startups2

infosecflow.com/blog/open-source-grc-comparison2

openriskregister.org/alternatives/open-source-grc-tool2

realciso.io/grc-platform/for-small-business2

reddit.com/r/cybersecurity/comments/1ay5u9v/what_grc_software_is_suitable_in_features_and2

simplerisk.com/2

opengrc.com/1

Pages are listed as the models cited 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 Open Risk Register'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 Open Risk Register, 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 openriskregister.org 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.