| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| SASE platforms | Network and edge | 0% | 14 of 45 | 29% | 14 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Zero trust network access | Network and edge | 0% | 13 of 66 | 0% | 7 | under 10 labels · led by Twingate at 39% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| DNS filtering | Network and edge | 0% | 26 of 94 | 0% | 1 | under 10 labels · led by DNSFilter at 59% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SASE | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 14 of 45 |
| ZTNA | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 11 → 13 of 66 |
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 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 2 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 2 | 2 | 0 | 4 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 2 | 2 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 2 | 1 | 4 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“If your company already uses Cisco heavily, Cisco Secure Access / Duo-based options are also strong mid-market fits” Perplexity Sonar · ZTNA · direct prompt · alternative
“A unified SASE offering that converges Cisco's networking (SD-WAN) and security (Umbrella/ISE) products.” GLM 4.7 FlashX · ZTNA · comparative prompt · alternative
“3. Cisco Secure Access: A SASE solution that delivers unified networking and security” Llama 4 Maverick · SASE · paraphrase prompt · alternative
“Best for Cisco-aligned estates: Cisco Secure Access, a cloud-delivered SSE platform” Muse Glimmer 30B · SASE · comparative prompt · alternative
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.
“An independent 2025 SSE test rated the tested products from these vendors "Caution" after finding failures in critical tests.” GPT-6 Luna · SASE · negative prompt · soft negative
“Still perceived as more of a stacked/packaged solution than a truly unified single-codebase platform; integration complexity” DeepSeek V4 Flash · SASE · comparative prompt · soft negative
“Platform to Approach with Caution: Cisco Secure Access. ... deployment as fragmented and difficult to troubleshoot” Qwen 3.7 Flash · SASE · negative prompt · soft negative
“mid-market users often find Ciscofs architecture bloated compared to newer entrants” Qwen 3.7 Flash · SASE · direct 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 86 of the 88 answers that named Cisco Secure Access and are not a share of its labels.
199 of the 219 domain citations in answers naming Cisco Secure Access 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 Cisco Secure Access's own pages state, read September 28, 2026: talentbridge.cisco.com/organization/cisco, research.cisco.com/cybersecurity/ai-for-security, talentbridge.cisco.com/job/lead-security-technician-56091, talentbridge.cisco.com/job/network-security-engineer-senior-56110, talentbridge.cisco.com/job/solution-architect-physical-security-56098. 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 Cisco Secure Access'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 Cisco Secure Access, 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 Cisco Secure Access by email, built from the raw record of the edition. It shows: