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Index › Security operations › TPRM › Prevalent vs LogicGate
Third-party risk management · October 2026 Edition

Prevalent vs LogicGate

Zero of fourteen models named Prevalent first on the direct prompt; one named LogicGate. Prevalent was named by thirteen of the fourteen models and LogicGate by six and Prevalent carries 22 labels and LogicGate 10, so the shares are not directly comparable.

Prevalent

accepted challenger

Named in three categories this edition.

LogicGate

accepted challenger

Named in five categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 15; printed, not drawn.
Labels2210A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Prevalent reading right to left. Rank and label count are printed, not drawn.UpGuard was named alongside these two in thirteen of the fourteen direct answers. UpGuard vs Prevalent · UpGuard vs LogicGate · Vanta vs Prevalent

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 third-party risk management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PrevalentFirst choices, of fourteen modelsLogicGate
Direct011 against Prevalent · 1 against LogicGate
Paraphrase20
Comparative20
Budget-constrained00
Scale-constrained00
Negative001 against Prevalent
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 Prevalent and LogicGate stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Prevalent LogicGate first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prevalent on the left and LogicGate on the right.

The direct prompt

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

LogicGate first, Prevalent not the choice

1 of 14 modelsPrevalent was named in the answer but not as the choice, or not at all.
Llama 4 MaverickLogicGate alternatives: StandardFusion, UpGuard, Vanta

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarUpGuard alternatives: LogicGate, Panorays, StandardFusion
Grok 4.1 FastUpGuard alternatives: LogicGate Risk Cloud, Prevalent, ProcessUnity, SecurityScorecard
Mistral SmallVanta alternatives: LogicGate, Panorays, StandardFusion, UpGuard
DeepSeek V4 FlashUpGuard alternatives: LogicGate, Panorays, Prevalent, StandardFusion, Venminder
Muse Glimmer 30BUpGuard alternatives: LogicGate, LogicManager, Panorays, Whistic

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniProcessUnity alternatives: UpGuard, Vanta, Venminder, Whistic
Gemini 3.5 FlashUpGuard alternatives: Drata, Panorays, Vanta, Venminder, Whistic
Qwen 3.7 FlashUpGuard alternatives: Panorays, Riskonnect, Sprinto, Vanta
Kimi K2UpGuard alternatives: Hyperproof, LogicGate Risk Cloud, Panorays
GLM 4.7 FlashXUpGuard alternatives: Panorays, SecurityScorecard, Vanta
MiniMax M2.5UpGuard alternatives: Panorays
GPT-6 LunaUpGuard alternatives: Vanta TPRM, Whistic

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
Level: the same share of first choices.
Prevalent0%#– of 9
LogicGate0%#– of 9
The full small business standing →
Mid-marketThe figures above
Prevalent leads by two points.
Prevalent4%#3 of 15
LogicGate2%#7 of 15
The full mid-market standing →
Enterprise
Prevalent leads by four points.
Prevalent4%#5 of 14
LogicGate0%#– of 14
The full enterprise standing →

What the models said about Prevalent

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

“They may be more platform than a lean mid-market team needs, so test implementation effort and total cost carefully.” GPT-6 Luna · direct prompt · soft negative
“reviews consistently flag limited customization and integration pain for UpGuard and Prevalent” Muse Glimmer 30B · negative prompt · soft negative
“Prevalent, ProcessUnity, and OneTrust are excellent choices if you need depth in assessment and compliance” Mistral Small · paraphrase prompt · first choice
“The strongest TPRM platforms for 2026 are Mitratech Prevalent, UpGuard, and SecurityScorecard” Claude Haiku 4.5 · comparative prompt · first choice
“For a specialist TPRM workflow, start with ProcessUnity and Prevalent.” GPT-6 Luna · comparative prompt · first choice

What the models said about LogicGate

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

“LogicGate: Best for organizations that need customizable workflows and AI-driven insights to automate vendor onboarding, risk scoring, and remediation playbooks.” Llama 4 Maverick · 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.