| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Network detection and response | Security operations | 18% | 2 of 102 | 14% | 36 | accepted challenger | |
| AI security platforms | Security operations | 0% | 56 of 233 | 0% | 3 | under 10 labels · led by SentinelOne Singularity at 11% | |
| Identity threat detection and response | Identity and access | 0% | 43 of 105 | 0% | 2 | under 10 labels · led by Huntress Managed ITDR at 51% | |
| Managed detection and response | Security operations | 0% | 63 of 67 | 0% | 1 | under 10 labels · led by Arctic Wolf Managed Detection and Response at 37% | newNew since September 2026: not ranked then, 0% now. |
| Threat intelligence platforms | Security operations | 0% | 69 of 119 | 0% | 1 | under 10 labels · led by MISP at 12% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 0 | 0 | 2 |
| GPT-5.4 mini | 1 | 0 | 1 | 1 | 3 |
| Gemini 3.5 Flash | 2 | 2 | 0 | 1 | 5 |
| Perplexity Sonar | 1 | 0 | 1 | 1 | 3 |
| Grok 4.20 | 4 | 1 | 2 | 1 | 8 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 2 | 0 | 1 | 1 | 4 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 1 | 2 | 2 | 0 | 5 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 2 | 0 | 3 |
| GPT-6 Luna | 2 | 0 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 0 | 2 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“If your primary concern is catching hackers, insider threats, and lateral movement across your network, Vectra AI is highly recommended.” Gemini 3.5 Flash · NDR · paraphrase prompt · first choice
“First choice: Vectra AI – It gives you the best "bang for the buck" regarding signal quality vs. analyst workload” DeepSeek V4 Flash · NDR · direct prompt · first choice
“Very strong on signal-to-noise ratio and hybrid/cloud coverage; integrates exceptionally well with existing EDRs.” Gemini 3.5 Flash · NDR · scale prompt · first choice
“Vectra AI if you have a small security team and want the platform to do more of the prioritization for you.” GPT-5.4 mini · NDR · 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.
“Options to Avoid on a Tight Budget - Darktrace, Vectra AI, ExtraHop” DeepSeek V4 Flash · NDR · budget prompt · hard negative
“No subscription fees, unlike commercial options like Vectra AI, Darktrace, or ExtraHop ($50K–$500K+/year)” Grok 4.20 · NDR · budget prompt · soft negative
“High-end NDR platforms (like Darktrace or Vectra AI) are notoriously expensive, complex” Gemini 3.5 Flash · NDR · budget prompt · soft negative
“tend to be stronger but typically more expensive and more enterprise-oriented” GPT-5.4 mini · NDR · 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 144 of the 149 answers that named Vectra AI and are not a share of its labels.
465 of the 534 domain citations in answers naming Vectra AI came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 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 Vectra AI's own pages state, read October 5, 2026: vectra.ai/vectra-ai-cyber-cinema, vectra.ai/topics/vectra-ai-competitors, vectra.ai/resources/vectra-ai-services, vectra.ai/resources/inside-vectra-ai-platform, vectra.ai/resources/understanding-vectra-ai-detections. 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 Vectra AI'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 Vectra AI, 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 Vectra AI by email, built from the raw record of the edition. It shows:
Vectra AI is among the products AI models recommend first in Network 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.