Two of fourteen models named Nozomi Networks Guardian first on the direct prompt; one named Fortinet OT Security Platform. Nozomi Networks Guardian was named by fourteen of the fourteen models and Fortinet OT Security Platform by thirteen and Nozomi Networks Guardian carries 51 labels and Fortinet OT Security Platform 28, 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, Nozomi Networks Guardian and Fortinet OT Security Platform were named in the same answer sixty-two times, of the 146 answers naming Nozomi Networks Guardian and the 90 naming Fortinet OT Security Platform. In those answers Fortinet OT Security Platform took the first choice nine times and Nozomi Networks Guardian twelve.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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 premium OT-native leaders like Claroty ... or Nozomi (great passive sensors)” Grok 4.20 · budget prompt · hard negative
“Most enterprise-grade platforms (like Dragos, Claroty, or Nozomi Networks) cost $100,000+ annually, which is out of reach for small budgets.” GLM 4.7 FlashX · budget prompt · soft negative
“Check ownership implications, roadmap control, data residency, and contract terms because it is now owned by Mitsubishi Electric.” Perplexity Sonar · negative prompt · soft negative
“Nozomi Networks Guardian / Vantage. Passive, agentless discovery and multi-site cloud console is the most cited fit for manufacturers with limited SOC staff.” Muse Glimmer 30B · direct prompt · first choice
“Choose Nozomi/Dragos if you want to understand the commands being sent and prevent malicious manipulation of physical processes.” Qwen 3.7 Flash · comparative prompt · first choice
“My default recommendation: Nozomi Networks Guardian, with Vantage for centralized management if you have multiple sites.” GPT-6 Luna · 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.
“Criticized for premium pricing (around $100K+/year for a single site) and complex deployments, making it less suitable for mid-market companies.” Mistral Small · negative prompt · soft negative
“Fortinet is a capable platform, but if your OT environment has strict patching windows, be cautious” DeepSeek V4 Flash · negative prompt · soft negative
“OT features may be less mature than pure-play vendors, requires careful segmentation design.” Qwen 3.7 Flash · negative prompt · soft negative
“Fortinet OT Security Platform looks like the strongest budget-conscious choice for many small-to-mid organizations” GPT-5.4 mini · budget prompt · first choice
“Fortinet offers a cost-effective OT security solution with strong segmentation capabilities” Claude Haiku 4.5 · budget prompt · first choice
“Fortinet is widely considered the best fit for this specific segment.” GLM 4.7 FlashX · 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.