| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| SIEM platforms | Security operations | 17% | 3 of 61 | 6% | 34 | accepted challenger | ▼−7Since September 2026: 22% → 16%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Deception technology | Security operations | 2% | 10 of 94 | 0% | 7 | under 10 labels · led by Thinkst Canary at 37% | |
| Network detection and response | Security operations | 0% | 28 of 102 | 0% | 3 | under 10 labels · led by ManageEngine NetFlow Analyzer at 21% | |
| Extended detection and response | Security operations | 0% | 30 of 58 | 0% | 2 | under 10 labels · led by Microsoft Defender XDR at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SIEM | 22% | 16% | ▼−7Since September 2026: 22% → 16%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 61 |
| Deception | 0% | 3% | newNew since September 2026: not ranked then, 3% now. | New this edition | Rank 10 of 94, unchanged |
| NDR | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 28 of 102, unchanged |
| XDR | 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 28 → 30 of 58 |
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 | 2 | 0 | 5 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 2 | 0 | 0 | 3 |
| Perplexity Sonar | 1 | 0 | 1 | 1 | 3 |
| Grok 4.20 | 0 | 4 | 2 | 0 | 6 |
| Mistral Small | 0 | 2 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 2 | 2 | 1 | 0 | 5 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 3 | 0 | 0 | 4 |
| Kimi K2 | 1 | 1 | 1 | 1 | 4 |
| GLM 4.7 FlashX | 1 | 3 | 0 | 0 | 4 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 1 | 0 | 2 |
| Muse Glimmer 30B | 2 | 0 | 2 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“Rapid7 InsightIDR - Combines SIEM, UEBA, and SOAR capabilities in a single cloud-native platform with asset-based pricing that eliminates ingest anxiety” Claude Haiku 4.5 · SIEM · direct prompt · first choice
“"Best for: Mid-sized organizations that want a cloud-native SIEM with integrated MDR capabilities, fast deployment and strong endpoint visibility"” Muse Glimmer 30B · SIEM · paraphrase prompt · first choice
“The Best All-Rounder: Rapid7 InsightIDR ... widely considered the best fit for mid-sized organizations” Qwen 3.7 Flash · SIEM · paraphrase prompt · first choice
“Need predictable pricing + managed detection without building a full SOC → Rapid7 InsightIDR.” Muse Glimmer 30B · SIEM · 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.
“Avoid commercial SIEMs like Rapid7 InsightIDR ($2,500+/month)” Kimi K2 · SIEM · budget prompt · hard negative
“eliminates cloud-only platforms such as ... Rapid7 Incident Command” Perplexity Sonar · SIEM · 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 115 of the 120 answers that named Rapid7 InsightIDR and are not a share of its labels.
326 of the 326 domain citations in answers naming Rapid7 InsightIDR 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 Rapid7 InsightIDR's own pages state, read September 28, 2026: docs.rapid7.com/insightidr, docs.rapid7.com/insightidr/threats, docs.rapid7.com/insightidr/log-search, docs.rapid7.com/insightidr/idr-ai-usage, docs.rapid7.com/insightidr/duo-security. 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 Rapid7 InsightIDR'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 Rapid7 InsightIDR, 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 Rapid7 InsightIDR by email, built from the raw record of the edition. It shows:
Rapid7 InsightIDR is among the products AI models recommend first in SIEM platforms 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.