IT AI Index
Index Vendors › Open Policy Agent · September 2026 Edition
1 category · Named, not ranked

Open Policy Agent

7Judge labels
0First choices
1Negative labels
6 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Open Policy Agent was named 2 times in IaC, where Terraform led with 46%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In iac · 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 Policy Agent 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
Infrastructure as codeCloud and infrastructure0%28 of 460%2under 10 labels · led by Terraform at 46%

Movement

This is the first edition on this tier, so no move can be computed for Open Policy Agent 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 Policy Agent 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 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00101
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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative4 labelsNone
First choiceAlternativeMentionNegative7 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.

No positive label carried a quote.

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 Policy Agent, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Open Policy Agent was named but was not.
ProductSame answerTook the first choice insteadHead to head
Microsoft Defender for Cloud3 of 72Not in the top three
Falco3 of 71Not in the top three
Wiz3 of 71Not in the top three
Trivy3 of 70Not in the top three
Aikido Security2 of 71Not in the top three
Google Security Command Center2 of 71Not in the top three
Snyk2 of 71Not in the top three
Terraform2 of 71Not in the top three
AWS CDK2 of 70Not in the top three
Azure Bicep2 of 70Not 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 Policy Agent. 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 4 of the 7 answers that named Open Policy Agent and are not a share of its labels.

Domains cited

cyberpress.org2
cybersecuritynews.com2
microsoft.com2
accuknox.com1
aikido.dev1
armosec.io1
bdemerson.com1
cipherssecurity.com1
claranet.com1
cloudgovernancecost.com1

Thirteen of the thirteen domain citations in answers naming Open Policy Agent came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Open Policy Agent

What the judge wrote, as written, with how often. The vendor table decides that these count as Open Policy Agent; a claim can dispute any of them.
OPA (Open Policy Agent) 1
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 Policy Agent'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 Policy Agent, 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 openpolicyagent.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.

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