One of fourteen models named Microsoft Defender for IoT first on the direct prompt; one 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 42 labels and Armis Centrix 31, so the shares are not directly comparable.
Named in one category 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 OT and IoT security page.
Across every category in the October 2026 Edition, Microsoft Defender for IoT and Armis Centrix were named in the same answer eighty-two times, of the 134 answers naming Microsoft Defender for IoT and the 106 naming Armis Centrix. In those answers Armis Centrix took the first choice seven times and Microsoft Defender for IoT twenty.
| Model | DirectMD | ParaphraseMD | ComparativeMD | Budget-constrainedMD | Scale-constrainedMD | NegativeMD |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | MD | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | MD | MD | MD | MD | MD | |
| Perplexity Sonar | MD | MD | ||||
| Grok 4.1 Fast | MD | MD | MD | MD | ||
| Mistral Small | MD | |||||
| DeepSeek V4 Flash | MD | MD | MD | |||
| Llama 4 Maverick | MD | |||||
| Qwen 3.7 Flash | MD | MD | ||||
| Kimi K2 | MD | MD | MD | MD | ||
| GLM 4.7 FlashX | MD | MD | ||||
| MiniMax M2.5 | 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.
“Avoid if budget is tight: Nozomi Networks and Microsoft Defender for IoT” Perplexity Sonar · budget prompt · hard negative
“I'd avoid starting a new deployment that depends on this console... That's a caution about the legacy console, not a blanket warning against Microsoft Defender for IoT.” GPT-6 Luna · negative prompt · soft negative
“These are IT-security vendors extending into OT. Their effectiveness depends on how well their OT findings integrate with your existing SOC” Mistral Small · negative prompt · soft negative
“For most mid-market B2B companies, Microsoft Defender for IoT (if you are a Microsoft shop) or Fortinet (if you use their network hardware) are the most successful starting points” Gemini 3.5 Flash · direct prompt · first choice
“For a small company with one OT site and up to 100 devices, I'd start by evaluating Microsoft Defender for IoT's XS site license.” GPT-6 Luna · budget prompt · first choice
“I'd suggest starting with Microsoft Defender for IoT ($70-250/month) as the most cost-effective commercial solution” Kimi K2 · 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.
“Example Platforms to approach with caution: Armis Centrix (or similar integration-heavy IT/IoT platforms)” Gemini 3.5 Flash · negative prompt · soft negative
“Strong on IoT/XIoT discovery but weaker on deep OT protocol knowledge vs. natives like Dragos/Nozomi.” Grok 4.1 Fast · negative prompt · soft negative
“not the same as deep OT-native detection; they may be better suited to IoT visibility” Perplexity Sonar · negative prompt · soft negative
“I'd recommend Armis as the primary choice due to its balance of comprehensive device discovery, ease of implementation, and vendor compatibility” Claude Haiku 4.5 · paraphrase prompt · first choice
“You should only choose Agentless (passive monitoring) platforms like Claroty, Nozomi, or Armis for OT.” Qwen 3.7 Flash · negative prompt · first choice
“start with Claroty xDome or Armis” Kimi K2 · direct 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.