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AI governance platforms · November 2026 Edition

Strac vs Vanta

One of fourteen models named Strac first on the direct prompt; one named Vanta. Strac was named by eight of the fourteen models and Vanta by six and Strac carries 11 labels and Vanta 10, so the shares are not directly comparable.

Strac

accepted challenger

Named in four categories this edition.

Vanta

accepted challenger

Named in seven categories this edition.

First-choice share7%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 10; printed, not drawn.
Labels1110A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Strac reading right to left. Rank and label count are printed, not drawn.Credo AI was named alongside these two in ten of the fourteen direct answers. Credo AI vs Strac · Credo AI vs Vanta · dope.security vs Strac

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AI governance platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
StracFirst choices, of fourteen modelsVanta
Direct11
Paraphrase011 against Vanta
Comparative00
Budget-constrained30
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Strac and Vanta stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Strac Vanta first choice named as an alternative argued againstblank: not namedEach cell is one answer, Strac on the left and Vanta on the right.

The direct prompt

The plain question, one answer per model, grouped by where Strac and Vanta stood in it.

Strac first, Vanta not the choice

1 of 14 modelsVanta was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BStrac, dope.security alternatives: Credo AI, Govarna, IBM watsonx.governance, OneTrust AI Governance

Vanta first, Strac not the choice

1 of 14 modelsStrac was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashVanta alternatives: Credo AI, Govarna, Holistic AI

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashCredo AI alternatives: Fiddler AI, ModelOp Center, Trustible, Vanta
Grok 4.20Microsoft Purview alternatives: Credo AI, Drata, Holistic AI, Vanta, dope.security
Kimi K2Govarna alternatives: Vanta

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Credo AI alternatives: Govern365, Holistic AI, Walled AI
GPT-5.4 miniCredo AI alternatives: IBM watsonx.governance, OneTrust AI Governance
Perplexity SonarCredo AI alternatives: AWS SageMaker AI Governance, Govarna, Microsoft Purview, OneTrust AI Governance, Speakeasy
Mistral SmallGovarna alternatives: Govern365, dope.security
Llama 4 Maverickdope.security alternatives: Cakewalk, Govern365, Pillar Security
Qwen 3.7 FlashGovarna alternatives: Credo AI, Govern365, dope.security
GLM 4.7 FlashXGovern365 alternatives: IBM watsonx.governance, dope.security
MiniMax M2.5Credo AI alternatives: Drata, Govarna, IBM watsonx.governance
GPT-6 LunaTrustible alternatives: Credo AI, OneTrust AI Governance

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Strac leads by thirty-nine points.
Strac43%#1 of 12
Vanta4%#4 of 12
The full small business standing →
Mid-marketThe figures above
Strac leads by four points.
Strac7%#3 of 10
Vanta4%#5 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Strac0%#– of 11
Vanta0%#– of 11
The full enterprise standing →

What the models said about Strac

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Strac's per-user modular pricing is the cheapest purpose-built commercial option cited for usage governance.” Muse Glimmer 30B · budget prompt · first choice
“the best AI governance platform is typically Strac or Prompts.ai” Grok 4.20 · budget prompt · first choice
“Best for AI usage governance and data protection — Strac.” Muse Glimmer 30B · direct prompt · first choice

What the models said about Vanta

No label in this category carried a quote.

Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.