| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Endpoint detection and response | Security operations | 22% | 2 of 55 | 19% | 57 | accepted challenger | ▲+6Since September 2026: 16% → 21%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Network detection and response | Security operations | 0% | 33 of 102 | 0% | 2 | under 10 labels · led by ManageEngine NetFlow Analyzer at 21% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| EDR | 16% | 21% | ▲+6Since September 2026: 16% → 21%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 2 of 55 |
| NDR | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 33 of 102, 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 | 0 | 0 | 1 | 2 |
| GPT-5.4 mini | 1 | 1 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 1 | 3 | 0 | 1 | 5 |
| Perplexity Sonar | 1 | 1 | 1 | 0 | 3 |
| Grok 4.20 | 3 | 0 | 0 | 2 | 5 |
| Mistral Small | 3 | 0 | 1 | 0 | 4 |
| DeepSeek V4 Flash | 1 | 4 | 0 | 2 | 7 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 3 | 2 | 0 | 0 | 5 |
| Kimi K2 | 0 | 2 | 2 | 2 | 6 |
| GLM 4.7 FlashX | 2 | 1 | 0 | 0 | 3 |
| MiniMax M2.5 | 3 | 0 | 0 | 1 | 4 |
| GPT-6 Luna | 1 | 1 | 1 | 1 | 4 |
| Muse Glimmer 30B | 1 | 3 | 2 | 1 | 7 |
Verbatim evidence the judge attached to positive labels.
“CrowdStrike Falcon remains the EDR/XDR market leader heading into 2026, anchored by a lightweight single agent, cloud-native architecture, and the OverWatch threat-hunting team” Claude Haiku 4.5 · EDR · comparative prompt · first choice
“I'd recommend CrowdStrike Falcon if you want the strongest overall balance of detection, response, and operational simplicity at mid-market scale.” Perplexity Sonar · EDR · paraphrase prompt · first choice
“Consistently a Leader in Gartner (highest Ability to Execute and furthest for Completeness of Vision for the 5th year); ~18-22% market share.” Grok 4.20 · EDR · comparative prompt · first choice
“CrowdStrike Falcon is a market-leading, cloud-native EDR/XDR platform with a unified agent and strong AI-powered detection.” GLM 4.7 FlashX · EDR · comparative 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.
“Premium options like CrowdStrike Falcon (~$100+/endpoint/year) ... are more expensive and enterprise-focused—skip unless scaling up.” Grok 4.20 · EDR · budget prompt · soft negative
“Evaluate CrowdStrike carefully — while detection is excellent, the 2024 outage revealed critical supply chain risks” Kimi K2 · EDR · negative prompt · soft negative
“Note: Usually the most expensive option on the list, and tends to favor larger enterprises, but highly capable.” Gemini 3.5 Flash · EDR · scale prompt · soft negative
“Avoid CrowdStrike if budget is tight — while the entry price is competitive, costs escalate quickly” Kimi K2 · EDR · 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 162 of the 174 answers that named CrowdStrike Falcon Insight and are not a share of its labels.
498 of the 542 domain citations in answers naming CrowdStrike Falcon Insight 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 CrowdStrike Falcon Insight's own pages state, read September 28, 2026: crowdstrike.com/tech-hub/endpoint-security/falcon-insight-xdr-walkthrough, crowdstrike.com/tech-hub/endpoint-security/crowdstrike-falcon-context-enrichment, crowdstrike.com/tech-hub/identity-protection/threat-hunting-with-falcon-identity-protection, crowdstrike.com/tech-hub/identity-protection/crowdstrike-falcon-identity-protection-policies, crowdstrike.com/tech-hub/identity-protection/build-cusotm-insights-with-falcon-identity-protection. 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 CrowdStrike Falcon Insight'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 CrowdStrike Falcon Insight, 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 CrowdStrike Falcon Insight by email, built from the raw record of the edition. It shows:
CrowdStrike Falcon Insight is among the products AI models recommend first in Endpoint detection and response 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.