| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Compliance automation | Security operations | 0% | 25 of 54 | 25% | 8 | under 10 labels · led by Drata at 37% |
| GRC platforms | Security operations | 0% | 25 of 77 | 0% | 3 | under 10 labels · led by Vanta at 14% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 3 | 1 | 4 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
Verbatim evidence the judge attached to positive labels.
“If you need multiple frameworks: Scrut is the clear winner due to its bundled pricing model.” Kimi K2 · Compliance automation · budget prompt · alternative
“Similar to Hyperproof but often positioned as more cost-effective for mid-sized companies.” Qwen 3.7 Flash · GRC · paraphrase prompt · alternative
“Scrut is another cost-effective option.” Claude Haiku 4.5 · Compliance automation · budget prompt · alternative
“Drata/Scrut (automation-heavy)” Grok 4.1 Fast · GRC · scale prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“use sales-led, custom pricing models, which can be opaque and expensive” Mistral Small · Compliance automation · negative prompt · soft negative
“Sprinto and Scrut are too limited for these” DeepSeek V4 Flash · Compliance automation · direct prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 22 of the 24 answers that named Scrut and are not a share of its labels.
Sixty-two of the sixty-seven domain citations in answers naming Scrut came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Scrut's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Scrut, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at scrut.io is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.