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Internal controls and SOX · October 2026 Edition

Hyperproof vs Drata

Zero of fourteen models named Hyperproof first on the direct prompt; zero named Drata. Hyperproof was named by eight of the fourteen models and Drata by eight and Hyperproof carries 14 labels and Drata 17, so the shares are not directly comparable.

Hyperproof

accepted challenger

Named in one category this edition.

Drata

accepted challenger

Named in one category this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 16; printed, not drawn.
Labels1417A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Hyperproof reading right to left. Rank and label count are printed, not drawn.FloQast was named alongside these two in thirteen of the fourteen direct answers. FloQast vs Hyperproof · FloQast vs Drata · AuditBoard vs Hyperproof

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 Internal controls and SOX page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
HyperproofFirst choices, of fourteen modelsDrata
Direct00
Paraphrase101 against Drata
Comparative00
Budget-constrained011 against Drata
Scale-constrained101 against Drata
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.

Across every category in the October 2026 Edition, Hyperproof and Drata were named in the same answer eighteen times, of the 44 answers naming Hyperproof and the 47 naming Drata. In those answers Drata took the first choice two times and Hyperproof three.

Every model, every framing

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

The direct prompt

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

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.
DeepSeek V4 FlashFloQast alternatives: BlackLine, Hyperproof, Workiva
Kimi K2FloQast alternatives: Hyperproof, Onspring, Workiva
GLM 4.7 FlashXFloQast alternatives: Hyperproof, NAVEX One, Onspring, Workiva
Muse Glimmer 30BFloQast alternatives: AuditBoard, HighRadius, Hyperproof, Onspring, Scytale

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: BlackLine, FloQast, HighRadius, LogicGate Risk Cloud, Scytale
GPT-5.4 miniAuditBoard alternatives: Vanta, Workiva
Gemini 3.5 FlashOptro alternatives: FloQast, Pathlock, Scytale, Vanta, Workiva
Perplexity SonarFloQast alternatives: Netwrix Auditor, Optro, Scytale
Grok 4.1 FastFloQast alternatives: AuditBoard, BlackLine
Mistral SmallAuditBoard, FloQast alternatives: Complies.ai, Scytale
Llama 4 MaverickFloQast, Scytale
Qwen 3.7 FlashFloQast alternatives: AuditBoard, Scytale
MiniMax M2.5FloQast alternatives: AuditBoard, Workiva
GPT-6 LunaOptro alternatives: FloQast, Workiva

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 three points.
Drata11%#2 of 14
Hyperproof8%#3 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Hyperproof leads at mid-market.
Hyperproof4%#6 of 16
Drata2%#8 of 16
The full mid-market standing →
Enterprise
Hyperproof leads by two points.
Hyperproof2%#– of 11
Drata0%#– of 11
The full enterprise standing →

What the models said about Hyperproof

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

“Hyperproof — Solid mid-market option with good balance of features and price” DeepSeek V4 Flash · scale prompt · first choice
“My default pick: Hyperproof” GPT-6 Luna · paraphrase prompt · first choice
“consider Hyperproof instead, as it consolidates multiple frameworks into one control library” DeepSeek V4 Flash · direct prompt · alternative

What the models said about Drata

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

“Drata \u2014 reported $7,500\u2013$100,000+/year” DeepSeek V4 Flash · budget prompt · hard negative
“Note: While great for IT, make sure they support the financial testing workflows your SOX auditors will require.” Gemini 3.5 Flash · scale prompt · soft negative
“compliance automation tools, not full control management suites” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Choose Drata if your bottleneck is IT compliance and you want to automate evidence collection to save on labor costs.” Qwen 3.7 Flash · budget prompt · first choice
“Drata is specifically labeled mid-market in buyer guides” Muse Glimmer 30B · paraphrase prompt · alternative
“Best for compliance automation: Drata or Sprinto” GPT-5.4 mini · paraphrase prompt · alternative
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.