| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Vulnerability management platforms | Security operations | 4% | 9 of 77 | 31% | 16 | criticized challenger | ▼−7Since September 2026: 9% → 2%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Breach and attack simulation | Security operations | 2% | 17 of 74 | 0% | 1 | under 10 labels · led by Cymulate at 24% | |
| Penetration testing as a service | Security operations | 0% | 76 of 82 | 33% | 3 | under 10 labels · led by Cobalt at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| OT and IoT security | Security operations | 0% | 98 of 107 | 100% | 1 | under 10 labels · led by Microsoft Defender for IoT at 21% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Vuln management | 9% | 2% | ▼−7Since September 2026: 9% → 2%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 9 of 77 |
| BAS | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 17 of 74, unchanged |
| PTaaS | 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 65 → 76 of 82 |
| OT/IoT security | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 98 of 107, 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 | 1 | 2 | 1 | 0 | 4 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 1 | 3 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 1 | 0 | 0 | 2 | 3 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 2 | 2 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“If you have staff time to host and maintain scans, Greenbone Community Edition is the cheapest complete platform.” Muse Glimmer 30B · Vuln management · budget prompt · first choice
“the best vulnerability management platform is likely the free Greenbone Community Edition (based on OpenVAS)” Grok 4.20 · Vuln management · budget prompt · first choice
“Start with a vulnerability scanner (Nessus or OpenVAS for cost-effectiveness)” Claude Haiku 4.5 · BAS · paraphrase prompt · first choice
“if your biggest problem is budget, start with Greenbone/OpenVAS or Nuclei, but don't pretend a free vulnerability scanner gives you a complete vulnerability management program” Claude Haiku 4.5 · Vuln management · budget 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.
“relying on free/open-source (FOSS) vulnerability scanners for a corporate environment is often advised against” Qwen 3.7 Flash · Vuln management · negative prompt · hard negative
“basic open-source scanners (like OpenVAS/Greenbone) ... Why to avoid them for enterprise VM” Gemini 3.5 Flash · Vuln management · negative prompt · hard negative
“it requires significant manual effort and expertise to configure and maintain effectively. It may lack the support and advanced features of commercial platforms.” Kimi K2 · Vuln management · negative prompt · soft negative
“High false positives; performance overhead; limited zero-day/advanced threat detection; inconsistent results.” Grok 4.20 · Vuln management · negative 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 58 of the 67 answers that named OpenVAS and are not a share of its labels.
187 of the 187 domain citations in answers naming OpenVAS 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 OpenVAS's own pages state, read September 28, 2026: openvas.org. 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 OpenVAS'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 OpenVAS, 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 OpenVAS by email, built from the raw record of the edition. It shows: