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GRC platforms · November 2026 Edition

Drata vs LogicGate

One of fourteen models named Drata first on the direct prompt; two named LogicGate. Drata was named by thirteen of the fourteen models and LogicGate by thirteen and Drata carries 43 labels and LogicGate 25, so the shares are not directly comparable.

Drata

accepted challenger

Named in seven categories this edition.

LogicGate

accepted challenger

Named in five categories this edition.

First-choice share5%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 20; printed, not drawn.
Labels4325A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Drata 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 Drata · Hyperproof vs LogicGate · Vanta vs Drata

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.
DrataFirst choices, of fourteen modelsLogicGate
Direct121 against Drata
Paraphrase211 against Drata
Comparative01
Budget-constrained003 against Drata
Scale-constrained001 against Drata
Negative012 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.

Across every category in the November 2026 Edition, Drata and LogicGate were named in the same answer sixty-five times, of the 428 answers naming Drata and the 124 naming LogicGate. In those answers LogicGate took the first choice five times and Drata eleven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Drata and LogicGate 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
Drata LogicGate first choice named as an alternative argued againstblank: not namedEach cell is one answer, Drata on the left and LogicGate on the right.

The direct prompt

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

Drata first, LogicGate not the choice

1 of 14 modelsLogicGate was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashDrata, Vanta alternatives: AuditBoard, Hyperproof, LogicGate Risk Cloud

LogicGate first, Drata an alternative

2 of 14 modelsDrata was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLogicGate, Onspring alternatives: Scrut Automation, Sprinto
Muse Glimmer 30BCompyl, Hyperproof, LogicGate alternatives: Drata, LogicManager, OneTrust GRC, Resolver, Riskonnect, Secureframe, Vanta, ZenGRC

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Compyl, Drata, Hyperproof, Korinza, Vanta
Perplexity SonarHyperproof alternatives: AuditBoard, Drata, LogicGate Risk Cloud, Scrut Automation, Vanta
Grok 4.20ZenGRC alternatives: AuditBoard, Hyperproof, LogicGate
Mistral SmallHyperproof alternatives: AuditBoard, LogicGate, Workiva
MiniMax M2.5Vanta alternatives: AuditBoard, Drata, LogicGate, Secureframe
GPT-6 LunaHyperproof alternatives: Drata, Vanta

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
DeepSeek V4 FlashHyperproof alternatives: AuditBoard, LogicGate Risk Cloud, Vanta
Llama 4 Maverickno first choice
Qwen 3.7 FlashLogicGate Risk Cloud alternatives: Hyperproof, Optro, RiskWatch, ServiceNow Integrated Risk Management
Kimi K2Hyperproof, LogicGate Risk Cloud, Vanta alternatives: AuditBoard, Onspring, RiskWatch
GLM 4.7 FlashXHyperproof, LogicGate Risk Cloud alternatives: AuditBoard, Compyl

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
Drata leads by thirteen points.
Drata13%#3 of 16
LogicGate0%#12 of 16
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Drata5%#5 of 20
LogicGate5%#6 of 20
The full mid-market standing →
Enterprise
Drata leads by two points.
Drata5%#7 of 15
LogicGate3%#9 of 15
The full enterprise standing →

What the models said about Drata

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

“pure startup tools like Vanta/Drata (under-scoped for broad GRC beyond initial SOC 2)” Grok 4.20 · direct prompt · hard negative

What the models said about LogicGate

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

“the most balanced recommendation for a typical mid-sized B2B is a no-code modular platform such as LogicGate Risk Cloud” Muse Glimmer 30B · paraphrase prompt · first choice
“High ratings (4.6–4.7/5), praised for flexibility, no-code customization, automation, and support.” Grok 4.20 · negative prompt · first choice
“a unified GRC platform such as Compyl, Hyperproof, or LogicGate is the right starting point” Muse Glimmer 30B · 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.