IT AI Index
Index Vendors › SAI360 · September 2026 Edition
2 categories · Named, not ranked

SAI360

15Judge labels
1First choices
3Negative labels
7 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. SAI360 was named 6 times in GRC and 1 other category, where Vanta led with 14%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 SAI360 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 rateLabelsQuadrant
GRC platformsSecurity operations2%15 of 770%4under 10 labels · led by Vanta at 14%
Third-party risk managementSecurity operations0%33 of 720%2under 10 labels · led by UpGuard at 53%

Movement

This is the first edition on this tier, so no move can be computed for SAI360 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 SAI360 across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini11103
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase3 labels1
Comparative6 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative4 labels1not counted in share
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 1 of the 2 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.

“Most mid-sized B2B companies: SAI360” GPT-5.4 mini · GRC · paraphrase prompt · first choice
“mid-market tools like StandardFusion, SAI360, or AuditBoard can often streamline assessments and compliance” DeepSeek V4 Flash · TPRM · scale prompt · alternative
“If you want to match tool to a specific GRC job, look at SAI360.” GPT-5.4 mini · GRC · 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 SAI360, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SAI360 was named but was not.
ProductSame answerTook the first choice insteadHead to head
MetricStream11 of 152Not in the top three
Archer8 of 150Not in the top three
ServiceNow Integrated Risk Management7 of 152Not in the top three
LogicGate6 of 151Not in the top three
Diligent One6 of 150Not in the top three
Drata5 of 151Not in the top three
Vanta5 of 151Not in the top three
Riskonnect5 of 150Not in the top three
ProcessUnity4 of 151Not in the top three
OneTrust4 of 150Not 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 SAI360. 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 15 of the 15 answers that named SAI360 and are not a share of its labels.

Domains cited

expertinsights.com5
gartner.com5
worldmetrics.org5
cybersierra.co4
forrester.com4
g2.com4
metricstream.com4
riskonnect.com4
sai360.comYour site4
vanta.com4

Thirty-nine of the forty-three domain citations in answers naming SAI360 came from somebody else's page.

Pages cited

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 SAI360'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 SAI360, 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 sai360.com 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.