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Internal controls and SOX · September 2026 Edition

Hyperproof vs Onspring

Zero of twelve models named Hyperproof first on the direct prompt; one named Onspring. Hyperproof was named by eight of the twelve models and Onspring by six and Hyperproof carries 16 labels and Onspring 10, so the shares are not directly comparable.

Hyperproof

accepted challenger

Named in one category this edition.

Onspring

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 rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels1610A 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 ten of the twelve direct answers. AuditBoard vs Hyperproof · AuditBoard vs Onspring · FloQast vs Hyperproof

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
HyperproofFirst choices, of twelve modelsOnspring
Direct01
Paraphrase20
Comparative00
Budget-constrained002 against Hyperproof
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Hyperproof and Onspring were named in the same answer thirteen times, of the 44 answers naming Hyperproof and the 29 naming Onspring. In those answers Onspring took the first choice three times and Hyperproof four.

Every model, every framing

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

The direct prompt

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

Onspring first, Hyperproof an alternative

1 of 12 modelsHyperproof was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashOnspring alternatives: Hyperproof, Scytale

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashOptro alternatives: FloQast, Hyperproof, Scytale, Workiva
Grok 4.1 FastFloQast alternatives: AuditBoard, Onspring, VComply
DeepSeek V4 FlashFloQast alternatives: AuditBoard, Hyperproof, Onspring, Workiva
Llama 4 MaverickFloQast alternatives: HighRadius, Onspring
Kimi K2FloQast alternatives: AuditBoard, Onspring, Workiva
GLM 4.7 FlashXAuditBoard, FloQast alternatives: Hyperproof, Mitti, NAVEX One, Workiva

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5AuditBoard alternatives: FloQast, Optro, Scytale
GPT-5.4 miniWorkiva alternatives: AuditBoard, LogicGate Risk Cloud
Perplexity SonarFloQast alternatives: AuditBoard, Optro
Mistral SmallFloQast alternatives: HighRadius, Optro
MiniMax M2.5FloQast alternatives: Diligent One Platform, Optro, VComply

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
Hyperproof leads by eight points.
Hyperproof10%#2 of 13
Onspring2%#8 of 13
The full small business standing →
Mid-marketThe figures above
Hyperproof leads by two points.
Hyperproof4%#5 of 13
Onspring2%#8 of 13
The full mid-market standing →
Enterprise
The order flips: Onspring leads at enterprise.
Onspring2%#– of 11
Hyperproof0%#– 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. Five of six in this category shown.

“quote-based platforms (e.g., Drata ~$7.5K-$25K/year, Hyperproof $12K+)” Grok 4.1 Fast · budget prompt · soft negative
“Hyperproof: ~$41,000/year ... you should avoid them” DeepSeek V4 Flash · budget prompt · soft negative
“For a mid-sized B2B company, Hyperproof is the best balance of cost, ease of use, and feature depth.” GLM 4.7 FlashX · paraphrase prompt · first choice
“LogicGate or Hyperproof are the strongest value picks” DeepSeek V4 Flash · paraphrase prompt · first choice
“If the IT Security / Engineering team owns ITGCs and you also need SOC 2: Go with Hyperproof or Scytale.” Gemini 3.5 Flash · direct prompt · alternative

What the models said about Onspring

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

“Onspring (Best Overall for Mid-Market)” Qwen 3.7 Flash · direct prompt · first choice
“Several reviewers highlight these as the sweet spot: a modern UI, no-code configurability, reasonable cost” DeepSeek V4 Flash · paraphrase prompt · alternative
“If you need broader risk management beyond SOX, Onspring or AuditBoard are safer long-term bets.” Kimi K2 · direct 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.