| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data loss prevention | Security operations | 46% | 1 of 89 | 14% | 56 | endorsed leader | ▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI governance platforms | Data platform | 0% | 130 of 135 | 100% | 1 | under 10 labels · led by Credo AI at 18% | |
| Communications archiving and compliance | Security operations | 0% | 73 of 101 | 0% | 1 | under 10 labels · led by Smarsh Enterprise Archive at 20% | |
| Data catalogs and governance | Data platform | 0% | 50 of 83 | 0% | 1 | under 10 labels · led by Atlan at 44% | |
| Microsoft 365 management | IT operations and endpoint | 0% | 117 of 149 | 100% | 1 | under 10 labels · led by CoreView at 20% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DLP | 39% | 48% | ▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 89, unchanged |
| Data catalogs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 50 of 83, unchanged |
| M365 management | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 117 of 149, unchanged |
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 | 3 | 1 | 0 | 0 | 4 |
| GPT-5.4 mini | 4 | 0 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 2 | 2 | 0 | 2 | 6 |
| Perplexity Sonar | 3 | 0 | 0 | 0 | 3 |
| Grok 4.20 | 4 | 0 | 1 | 2 | 7 |
| Mistral Small | 0 | 1 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 2 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 3 | 0 | 0 | 2 | 5 |
| Kimi K2 | 2 | 1 | 1 | 1 | 5 |
| GLM 4.7 FlashX | 4 | 0 | 0 | 0 | 4 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 3 | 1 | 1 | 1 | 6 |
| Muse Glimmer 30B | 0 | 2 | 1 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“Best value if you already pay for Microsoft 365... Microsoft Purview DLP is a no-brainer—no new infrastructure, just policy configuration.” GLM 4.7 FlashX · DLP · budget prompt · first choice
“If you use Microsoft 365: Start with Microsoft Purview DLP for Exchange, SharePoint, and OneDrive if your licenses include it.” GPT-6 Luna · DLP · budget prompt · first choice
“The top 5 Data Loss Prevention solutions are Microsoft Purview Data Loss Prevention... best for teams standardized on Microsoft 365” Claude Haiku 4.5 · DLP · comparative prompt · first choice
“Try free trials of Safetica or Microsoft Purview (if applicable)—they balance cost, ease, and effectiveness for limited budgets.” Grok 4.20 · DLP · budget 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.
“When to avoid: Non-Microsoft ecosystems or diverse file types/GenAI risks.” Grok 4.20 · DLP · negative prompt · hard negative
“Microsoft Purview is highly effective if your organization is completely standardized on the Windows and Microsoft 365 ecosystem. However, you should be cautious if your environment is heterogeneous.” Gemini 3.5 Flash · DLP · negative prompt · soft negative
“Common caution themes in recent reviews include missing basic capabilities for some use cases, inconsistent design across workloads, and support that reviewers describe as slow or inflexible.” GPT-5.4 mini · DLP · negative prompt · soft negative
“Purview offers AI-related visibility and compliance features, but some capabilities require specific licenses or pay-as-you-go billing, so it isn't automatically free with Microsoft 365.” GPT-6 Luna · AI governance · 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 176 of the 187 answers that named Microsoft Purview DLP and are not a share of its labels.
642 of the 642 domain citations in answers naming Microsoft Purview 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 Microsoft Purview DLP's own pages state, read September 28, 2026: microsoft.com/bg-bg/windows/comprehensive-security, microsoft.com/de-de/windows/tips/security, microsoft.com/bg-bg/microsoft-365/enterprise/secure-productivity, microsoft.com/sr-latn-rs/microsoft-365/enterprise/secure-productivity, microsoft.com/de-de/microsoft-365/business/data-security-privacy-germany. 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 Microsoft Purview 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 Microsoft Purview 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 Microsoft Purview DLP by email, built from the raw record of the edition. It shows:
AI models recommend Microsoft Purview DLP first in Data loss prevention 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.