Five of fourteen models named Microsoft Defender for IoT first on the direct prompt; zero named Armis Centrix. Microsoft Defender for IoT was named by thirteen of the fourteen models and Armis Centrix by fourteen and Microsoft Defender for IoT carries 49 labels and Armis Centrix 37, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 OT and IoT security page.
Across every category in the November 2026 Edition, Microsoft Defender for IoT and Armis Centrix were named in the same answer ninety times, of the 151 answers naming Microsoft Defender for IoT and the 116 naming Armis Centrix. In those answers Armis Centrix took the first choice eight times and Microsoft Defender for IoT twenty-one.
| Model | DirectMD | ParaphraseMD | ComparativeMD | Budget-constrainedMD | Scale-constrainedMD | NegativeMD |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | MD | MD | ||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | MD | MD | MD | MD | ||
| Perplexity Sonar | MD | MD | MD | MD | MD | |
| Grok 4.20 | MD | MD | MD | MD | ||
| Mistral Small | MD | MD | MD | MD | ||
| DeepSeek V4 Flash | MD | MD | MD | MD | ||
| Llama 4 Maverick | MD | MD | ||||
| Qwen 3.7 Flash | MD | MD | ||||
| Kimi K2 | MD | MD | MD | |||
| GLM 4.7 FlashX | MD | MD | MD | |||
| MiniMax M2.5 | MD | MD | MD | |||
| GPT-6 Luna | MD | MD | MD | |||
| Muse Glimmer 30B | MD | MD | MD |
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. Six of eight in this category shown.
“often criticized for requiring integration with separate SIEM and SOAR tools, which can complicate deployment” Mistral Small · negative prompt · soft negative
“Microsoft Defender for IoT is generally well-regarded but can feel basic if not combined with others.” Grok 4.20 · negative prompt · soft negative
“Microsoft Defender for IoT has been criticized for its premium pricing and complex deployments.” Llama 4 Maverick · negative prompt · soft negative
“The top results suggest that Microsoft Defender for IoT is a recommended industrial and IoT device security tool for mid-sized B2B companies.” Llama 4 Maverick · paraphrase prompt · first choice
“Start with Microsoft Defender for IoT if you're already in the Microsoft ecosystem—it's the most cost-effective entry point” DeepSeek V4 Flash · direct prompt · first choice
“Defender for IoT OT site license XS at ~$70/mo per site up to 100 devices is the most accessible commercial starting point.” Muse Glimmer 30B · budget 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 the premium OT-native suites – Claroty, Nozomi, Dragos, Armis – for a tight budget” Muse Glimmer 30B · budget prompt · hard negative
“their premium pricing and deployment complexity limit accessibility for mid-tier or resource-constrained organizations” Muse Glimmer 30B · direct prompt · soft negative
“Validate the post-acquisition roadmap, licensing, support model, and ServiceNow integration before committing.” Perplexity Sonar · negative prompt · soft negative
“look for converged platforms like Claroty or Armis that cover OT + IoT + other connected assets” GPT-5.4 mini · comparative prompt · first choice
“Use dedicated OT-native platforms (Claroty, Nozomi Networks, Dragos, Armis)” DeepSeek V4 Flash · negative prompt · first choice
“Top Recommendation: Armis (Enterprise Security Platform)” Qwen 3.7 Flash · 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.