| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Cloud security posture management | Cloud and infrastructure | 37% | 1 of 80 | 15% | 61 | endorsed leader | ▼−5Since September 2026: 43% → 38%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Cloud-native application protection | Cloud and infrastructure | 37% | 1 of 70 | 19% | 70 | endorsed leader | ▼−11Since September 2026: 46% → 35%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Data security posture management | Security operations | 10% | 3 of 105 | 17% | 29 | accepted challenger | |
| Container and Kubernetes security | Cloud and infrastructure | 8% | 6 of 77 | 14% | 35 | accepted challenger | ▲+6Since September 2026: 4% → 10%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Application security posture management | Developer platform | 2% | 10 of 70 | 11% | 18 | accepted challenger | |
| AI security platforms | Security operations | 2% | 12 of 233 | 0% | 14 | accepted challenger | |
| Attack surface management | Security operations | 0% | 17 of 100 | 27% | 15 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Vulnerability management platforms | Security operations | 0% | 16 of 77 | 17% | 12 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| SaaS security posture management | Security operations | 0% | 24 of 95 | 0% | 3 | under 10 labels · led by Wing Security at 30% | |
| AI governance platforms | Data platform | 0% | 117 of 135 | 0% | 1 | under 10 labels · led by Credo AI at 18% | |
| API security platforms | Security operations | 0% | 74 of 93 | 0% | 1 | under 10 labels · led by Aikido Security at 12% | |
| Breach and attack simulation | Security operations | 0% | 46 of 74 | 0% | 1 | under 10 labels · led by Cymulate at 24% | |
| Compliance automation | Security operations | 0% | 56 of 67 | 0% | 1 | under 10 labels · led by Drata at 34% | newNew since September 2026: not ranked then, 0% now. |
| Data loss prevention | Security operations | 0% | 50 of 89 | 0% | 1 | under 10 labels · led by Microsoft Purview DLP at 46% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity threat detection and response | Identity and access | 0% | 77 of 105 | 0% | 1 | under 10 labels · led by Huntress Managed ITDR at 51% | |
| Microsegmentation | Network and edge | 0% | 57 of 94 | 0% | 1 | under 10 labels · led by ColorTokens Xshield at 25% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DSPM | 0% | 12% | newNew since September 2026: not ranked then, 12% now. | New this edition | Rank 3 of 105, unchanged |
| CNAPP | 46% | 35% | ▼−11Since September 2026: 46% → 35%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 of 70, unchanged |
| Container security | 4% | 10% | ▲+6Since September 2026: 4% → 10%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 6 of 77, unchanged |
| CSPM | 43% | 38% | ▼−5Since September 2026: 43% → 38%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 80, unchanged |
| ASPM | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 10 of 70, unchanged |
| AI security | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 12 of 233, unchanged |
| ASM | 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 14 → 17 of 100 |
| Vuln management | 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 → 16 of 77 |
| SSPM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 24 of 95, unchanged |
| AI governance | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 117 of 135, unchanged |
| BAS | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 46 of 74, unchanged |
| Compliance automation | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 56 of 67, unchanged |
| DLP | 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 41 → 50 of 89 |
| ITDR | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 77 of 105, unchanged |
| Microsegmentation | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 57 of 94, 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 | 5 | 2 | 4 | 1 | 12 |
| GPT-5.4 mini | 3 | 9 | 1 | 2 | 15 |
| Gemini 3.5 Flash | 9 | 7 | 6 | 8 | 30 |
| Perplexity Sonar | 8 | 6 | 4 | 0 | 18 |
| Grok 4.20 | 10 | 7 | 5 | 2 | 24 |
| Mistral Small | 5 | 2 | 4 | 2 | 13 |
| DeepSeek V4 Flash | 6 | 8 | 4 | 6 | 24 |
| Llama 4 Maverick | 1 | 0 | 8 | 1 | 10 |
| Qwen 3.7 Flash | 14 | 8 | 3 | 3 | 28 |
| Kimi K2 | 6 | 8 | 3 | 6 | 23 |
| GLM 4.7 FlashX | 7 | 3 | 4 | 5 | 19 |
| MiniMax M2.5 | 7 | 3 | 4 | 0 | 14 |
| GPT-6 Luna | 3 | 5 | 1 | 2 | 11 |
| Muse Glimmer 30B | 5 | 9 | 7 | 2 | 23 |
Verbatim evidence the judge attached to positive labels.
“Praised for its agentless approach, prioritized risk findings, and attack-path correlation, making it ideal for mid-market companies looking to consolidate security tools.” Mistral Small · CSPM · direct prompt · first choice
“I'd suggest evaluating Wiz and Microsoft Defender for Cloud as starting points—Wiz for its modern, agentless approach and comprehensive CNAPP capabilities” MiniMax M2.5 · CSPM · direct prompt · first choice
“Wiz and Orca pioneered agentless side-scanning and graph-based threat context. They are incredibly easy to deploy and provide the best user experience.” Gemini 3.5 Flash · CSPM · scale prompt · first choice
“Wiz (Overall Leader) ... Wiz is the CNAPP market leader, and its Security Graph provides genuinely differentiating features with unmatched time-to-value.” Claude Haiku 4.5 · CNAPP · 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.
“What to Avoid on a Tight Budget... generally quote-only and target mid-market to enterprise budgets” Kimi K2 · CSPM · budget prompt · hard negative
“you will want to avoid enterprise-grade CSPM platforms like Wiz, Orca Security, or Prisma Cloud” Gemini 3.5 Flash · CSPM · budget prompt · hard negative
“Options to Avoid on a Tight Budget - Wiz — Starts around ~$100K/year; way too expensive” DeepSeek V4 Flash · CNAPP · budget prompt · hard negative
“Avoid: Enterprise-heavy like Wiz/Prisma (quote-based, often $20K–$100K+/year)” Grok 4.20 · CNAPP · budget prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 688 of the 743 answers that named Wiz and are not a share of its labels.
1,762 of the 2,045 domain citations in answers naming Wiz 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 684 | 39 | 2026-09-28 | CNAPP, CSPM | |
| Glossary or explainer | 674 | 17 | 2026-09-25 | CSPM, ASM | |
| Conference or event | 660 | 17 | 2026-11-10 | CNAPP, SAST | |
| Case study | 105 | 0 | 2024-08-21 | ||
| Comparison | 68 | 3 | 2026-09-22 | CSPM, CNAPP | |
| News or press | 36 | 2 | 2026-09-01 | ||
| Webinar or virtual event | 17 | 2 | 2026-10-15 | CNAPP | |
| Report or ebook | 17 | undated | |||
| Template or tool | 3 | 0 | 2026-02-26 | ||
| Podcast or video | 1 | 0 | 2023-06-12 |
As the event pages on wiz.io state them, read September 28, 2026.
Every page wiz.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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 Wiz's own pages state, read September 28, 2026: wiz.io, wiz.io/pricing, trust.wiz.io, wiz.io/platform, wiz.io/customers. 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 Wiz'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 Wiz, 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 Wiz by email, built from the raw record of the edition. It shows:
AI models recommend Wiz first in Cloud security posture management 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.
AI models recommend Wiz first in Cloud-native application protection 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.
Wiz is among the products AI models recommend first in Data security posture management 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.