| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data loss prevention | Security operations | 6% | 4 of 89 | 0% | 24 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DLP | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 4 of 89 |
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 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 2 | 1 | 0 | 3 |
| Mistral Small | 1 | 0 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 1 | 1 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Known for its cloud-native architecture, API-based SaaS coverage, and flexible pricing, making it ideal for mid-market companies” Mistral Small · DLP · direct prompt · first choice
“Netskope was the clear leader in the mid-market, thanks to its cloud-native architecture” Muse Glimmer 30B · DLP · paraphrase prompt · first choice
“Netskope DLP is the strongest all-around choice for mid-market B2B companies today” DeepSeek V4 Flash · DLP · direct prompt · first choice
“Emphasizes inline inspection and a shared policy approach across web, SaaS, endpoints, and AI environments.” GPT-6 Luna · DLP · 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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 65 of the 71 answers that named Netskope DLP and are not a share of its labels.
283 of the 283 domain citations in answers naming Netskope DLP 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 Netskope DLP's own pages state, read September 28, 2026: community.netskope.com/dlp-7, community.netskope.com/dlp-160, community.netskope.com/dlp-173, docs.netskope.com/en/dlp, docs.netskope.com/en/dlp-117716. 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 Netskope DLP'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 Netskope DLP, 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 Netskope DLP by email, built from the raw record of the edition. It shows: