One of fourteen models named Fortinet OT Security Platform first on the direct prompt; zero named Palo Alto Networks OT Security. Fortinet OT Security Platform was named by thirteen of the fourteen models and Palo Alto Networks OT Security by twelve and Fortinet OT Security Platform carries 28 labels and Palo Alto Networks OT Security 23, 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, Fortinet OT Security Platform and Palo Alto Networks OT Security were named in the same answer forty-four times, of the 90 answers naming Fortinet OT Security Platform and the 68 naming Palo Alto Networks OT Security. In those answers Palo Alto Networks OT Security took the first choice three times and Fortinet OT Security Platform three.
| 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 | PA | |||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | PA | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | PA | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | PA | |||||
| 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.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“consistently highlight expensive pricing (often the top con...), complex setup/configuration, and a steeper learning curve for OT teams” Grok 4.20 · negative prompt · soft negative
“Complex setup, steep learning curve, high cost, requires specialized expertise. May be overkill for small operations.” Qwen 3.7 Flash · negative prompt · soft negative
“Also noted as a "criticized challenger" with limited positive feedback in recent rankings” Mistral Small · negative prompt · soft negative
“OT appliances start at $2,200-$4,000 with bundles scaling to $7,000-$10,000, making this a more affordable entry point than enterprise solutions.” Claude Haiku 4.5 · budget prompt · first choice
“converged solutions from vendors like Microsoft, Palo Alto, or Claroty are increasingly preferred” Grok 4.20 · comparative prompt · first choice
“The Premium Choice: Palo Alto Networks ... The Trade-off: It is generally more expensive and has a steeper learning curve than Fortinet.” GLM 4.7 FlashX · direct prompt · alternative
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.