Two of fourteen models named dope.security first on the direct prompt; zero named IBM watsonx.governance. dope.security was named by seven of the fourteen models and IBM watsonx.governance by fourteen and dope.security carries 14 labels and IBM watsonx.governance 41, so the shares are not directly comparable.
Named in three categories this edition.
Named in two categories this edition.
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 AI governance platforms page.
| Model | DirectDSIW | ParaphraseDSIW | ComparativeDSIW | Budget-constrainedDSIW | Scale-constrainedDSIW | NegativeDSIW |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | IW | IW | ||||
| GPT-5.4 mini | IW | IW | IW | IW | ||
| Gemini 3.5 Flash | IW | IW | ||||
| Perplexity Sonar | IW | IW | IW | |||
| Grok 4.20 | DSIW | IW | IW | IW | ||
| Mistral Small | DS | DS | IW | |||
| DeepSeek V4 Flash | IW | DS | IW | IW | DSIW | IW |
| Llama 4 Maverick | DS | DS | IW | |||
| Qwen 3.7 Flash | DS | DS | IW | |||
| Kimi K2 | IW | IW | IW | |||
| GLM 4.7 FlashX | DSIW | DS | IW | |||
| MiniMax M2.5 | IW | IW | IW | IW | ||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | DSIW | DSIW | IW | IW |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Enforcement and shadow-AI control now - e.g. dope.security - to discover every AI app, enforce enterprise-only accounts and block sensitive data in prompts.” Muse Glimmer 30B · paraphrase prompt · first choice
“The author argues the best AI governance tool for a mid-size company is "an enforcement layer that sees and controls AI use on every laptop"” Muse Glimmer 30B · direct prompt · first choice
“dope.security - discovers every AI app in use, enforces enterprise-only accounts, and blocks sensitive data in prompts from one console.” Llama 4 Maverick · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for mid-market: Heavy enterprise tools like IBM watsonx.governance, BigID, or ModelOp” Grok 4.20 · direct prompt · hard negative
“What to Avoid on a Limited Budget | IBM watsonx.governance | $3,500/month | Enterprise-priced” DeepSeek V4 Flash · budget prompt · hard negative
“avoiding for mid-market budgets: IBM watsonx.governance — starts around $75K+” DeepSeek V4 Flash · direct prompt · hard negative
“Connects AI inventories, risks, controls, and regulatory obligations in a unified system. It's designed for large enterprises needing comprehensive model lifecycle management” Mistral Small · comparative prompt · first choice
“A comprehensive enterprise platform from IBM... Credo AI and IBM shine for audits, policies, and regulatory mapping” Grok 4.20 · comparative prompt · first choice
“Choose IBM if you want a governance product that is more explicitly packaged for AI governance.” GPT-5.4 mini · paraphrase prompt · first choice
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.