| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| SASE platforms | Network and edge | 10% | 3 of 45 | 17% | 18 | accepted challenger | ▼−21Since September 2026: 28% → 7%, −21 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| SD-WAN | Network and edge | 6% | 4 of 73 | 0% | 27 | accepted challenger | ▲+7Since September 2026: 0% → 7%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SASE | 28% | 7% | ▼−21Since September 2026: 28% → 7%, −21 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 → 3 of 45 |
| SD-WAN | 0% | 7% | ▲+7Since September 2026: 0% → 7%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 4 of 73 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 0 | 1 | 3 |
| GPT-5.4 mini | 1 | 1 | 1 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 2 | 2 | 0 | 4 |
| Grok 4.20 | 0 | 2 | 0 | 1 | 3 |
| Mistral Small | 0 | 1 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 3 | 3 | 1 | 0 | 7 |
| Llama 4 Maverick | 1 | 1 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 0 | 1 | 2 | 0 | 3 |
| GLM 4.7 FlashX | 1 | 1 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 1 | 3 | 1 | 0 | 5 |
| Muse Glimmer 30B | 1 | 1 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“For most mid-market B2B companies, Cato Networks and Fortinet are the two names that come up most consistently as the strongest fits” DeepSeek V4 Flash · SD-WAN · direct prompt · first choice
“Cato Networks offers a cloud-native SASE platform that's been scored as the easiest-to-use platform by Netify for the third year running” Claude Haiku 4.5 · SD-WAN · direct prompt · first choice
“If you forced me to pick one best "default" SASE platform for a typical mid-market B2B company, I'd say Cato SASE Cloud Platform” GPT-5.4 mini · SASE · direct prompt · first choice
“1) Cato Networks - Why it fits mid-market: A single converged SD-WAN + SASE platform with a cloud-native private backbone.” GLM 4.7 FlashX · SD-WAN · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“vendors like Zscaler or Cato may be worth considering—but they generally skew more enterprise and are less obviously budget-first” GPT-5.4 mini · SASE · budget prompt · soft negative
“Cato has a lack of some advanced security features, including limited CASB functionality and less third-party integrations” Claude Haiku 4.5 · SASE · negative prompt · soft negative
“Gartner Leaders but higher costs/minimums; not ideal for tight budgets.” Grok 4.20 · SASE · budget prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 121 of the 126 answers that named Cato SASE Cloud and are not a share of its labels.
329 of the 351 domain citations in answers naming Cato SASE Cloud came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Cato SASE Cloud's own pages state, read September 28, 2026: certifications.catonetworks.com/courses/sase-advanced-security. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Cato SASE Cloud's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Cato SASE Cloud, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Cato SASE Cloud by email, built from the raw record of the edition. It shows:
Cato SASE Cloud is among the products AI models recommend first in SASE platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.