GRC platforms · October 2026 Edition
ZenGRC vs Drata
Five of fourteen models named ZenGRC first on the direct prompt; two named Drata. ZenGRC was named by ten of the fourteen models and Drata by fourteen and ZenGRC carries 29 labels and Drata 50, so the shares are not directly comparable.
Named in two categories this edition.
Named in seven categories this edition.
First-choice share14%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 14; printed, not drawn.
Labels2950A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZenGRC reading right to left. Rank and label count are printed, not drawn.Hyperproof was named alongside these two in eleven of the fourteen direct answers. Hyperproof vs ZenGRC · Hyperproof vs Drata · Vanta vs ZenGRC
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 GRC 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.
ZenGRCFirst choices, of fourteen modelsDrata
Direct52
Paraphrase32
Comparative01
Budget-constrained003 against Drata
Scale-constrained03
Negative003 against ZenGRC · 4 against Drata
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 ZenGRC and Drata stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | | | | |
| 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 | | | |
ZenGRC Drata first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZenGRC on the left and Drata on the right.The direct prompt
The plain question, one answer per model, grouped by where ZenGRC and Drata stood in it.
ZenGRC first, Drata an alternative
5 of 14 modelsDrata was named in the answer but not as the choice, or not at all.Grok 4.1 FastLogicGate, ZenGRC alternatives: AuditBoard, Drata, Hyperproof
Mistral SmallAuditBoard, ZenGRC alternatives: RiskWatch, StandardFusion, Vanta
Qwen 3.7 FlashZenGRC alternatives: AuditBoard, Centraleyes, Drata, Vanta
Kimi K2Hyperproof, ZenGRC alternatives: Drata, Onspring, Vanta
GLM 4.7 FlashXVanta, ZenGRC alternatives: Drata, Hyperproof, LogicGate Risk Cloud
Drata first, ZenGRC not the choice
2 of 14 modelsZenGRC was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Drata alternatives: Hyperproof, VComply, Vanta
Gemini 3.5 FlashDrata, Vanta alternatives: AuditBoard, Compyl, Hyperproof, LogicGate
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarHyperproof alternatives: LogicGate, ZenGRC
DeepSeek V4 FlashHyperproof alternatives: Drata, LogicGate Risk Cloud, Vanta, ZenGRC
GPT-6 LunaHyperproof alternatives: Drata, Vanta
Muse Glimmer 30BLogicGate Risk Cloud alternatives: Hyperproof, Vanta, ZenGRC
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniLogicGate alternatives: AuditBoard, Hyperproof, Optro
Llama 4 Maverickno first choice
MiniMax M2.5Hyperproof alternatives: AuditBoard, LogicGate Risk Cloud
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
Mid-marketThe figures above
The order flips: ZenGRC leads at mid-market.
ZenGRC14%#3 of 14Drata12%#4 of 14Enterprise
Level: the same share of first choices.
ZenGRC6%#– of 13Drata6%#5 of 13What the models said about ZenGRC
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Lower-tier option; generally overshadowed by competitors with better usability.” DeepSeek V4 Flash · negative prompt · soft negative
“have high presence but inconsistent satisfaction; small samples hide issues” Grok 4.1 Fast · negative prompt · soft negative
“Inadequate/limited reporting capabilities (frequently cited)” Kimi K2 · negative prompt · soft negative
“Best Overall for B2B Tech/SaaS Companies: ZenGRC ... frequently cited as the leading choice specifically for the mid-market segment” Qwen 3.7 Flash · direct prompt · first choice
“ZenGRC and AuditBoard are top choices due to their balance of usability, scalability, and feature depth.” Mistral Small · direct prompt · first choice
“ZenGRC is the best overall choice due to its balance of functionality, scalability, and ease of use.” Mistral Small · paraphrase prompt · first choice
What the models said about Drata
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Avoid: Tools like Vanta, Drata, or Secureframe.” GLM 4.7 FlashX · budget prompt · hard negative
“Drata automates 90%+ of controls and starting from approximately $15,000/year, is often the best value for mid-market companies” Claude Haiku 4.5 · direct prompt · first choice
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.