# Network detection and response for enterprise buyers: what AI models recommend, October 2026

IT AI Recommendation Index, October 2026 Edition. Asked as "NDR platform" and as "network traffic analysis tool", six framings each, to fourteen models with search on, on behalf of an enterprise B2B company. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories. Page: https://it-ai-index.com/security/network-detection-and-response/enterprise/

**Standing:** Vectra AI leads with 17% of first choices; verdict contested. 47 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Vectra AI | 17% | 20% | 49 |
| 2 | Darktrace | 13% | 28% | 54 |
| 3 | ExtraHop Reveal | 9% | 8% | 12 |
| 4 | Corelight Open NDR | 6% | 8% | 39 |
| 5 | ExtraHop RevealX | 6% | 22% | 37 |
| 6 | Cisco Secure Network Analytics | 6% | 15% | 26 |
| 7 | Trellix NDR | 0% | 33% | 15 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: no first choice
- GPT-5.4 mini: Corelight Open NDR; alternatives Darktrace, ExtraHop RevealX, Vectra AI
- Gemini 3.5 Flash: Vectra AI; alternatives Corelight Open NDR, Darktrace Active / Networks, ExtraHop RevealX
- Perplexity Sonar: Vectra AI Platform; alternatives ExtraHop Reveal, Fidelis Network, Stamus Clear NDR
- Grok 4.1 Fast: Vectra AI; alternatives Darktrace, ExtraHop (Reveal(x))
- Mistral Small: Darktrace, Vectra AI; alternatives ExtraHop (Reveal(x)), Stamus Networks
- DeepSeek V4 Flash: ExtraHop Reveal(x) 360; alternatives Cisco, Corelight Open NDR, Darktrace, Fortinet FortiNDR
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: Vectra AI; alternatives Corelight Open NDR, Darktrace, ExtraHop RevealX
- Kimi K2: ExtraHop Reveal; alternatives CrowdStrike Falcon, Darktrace, Vectra AI
- GLM 4.7 FlashX: Vectra AI; alternatives Corelight Open NDR, Darktrace, ExtraHop RevealX
- MiniMax M2.5: ExtraHop RevealX; alternatives Trellix NDR, Vectra AI
- GPT-6 Luna: Vectra AI; alternatives Corelight Open NDR, ExtraHop RevealX
- Muse Glimmer 30B: Darktrace; alternatives Corelight Open NDR, NetWitness, Seceon OTM, Vectra AI

## Sources the answers cite

74 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- comparitech.com: 43 answers, 50 citations
- vectra.ai: 35 answers, 59 citations
- ciopages.com: 34 answers, 34 citations
- gartner.com: 26 answers, 35 citations
- fidelissecurity.com: 25 answers, 27 citations
- extrahop.com: 23 answers, 32 citations
- g2.com: 23 answers, 30 citations
- guideflow.com: 22 answers, 23 citations

Pages named in the most answers:

- https://comparitech.com/net-admin/network-detection-response-software (36 answers)
- https://ciopages.com/buyer-guides/network-detection-response (34 answers)
- https://guideflow.com/blog/network-detection-and-response-software (22 answers)
- https://gartner.com/reviews/market/network-detection-and-response (20 answers)
- https://zenarmor.com/docs/network-security-tutorials/best-10-network-detection-and-response-ndr-tools (19 answers)
- https://cybersecuritynews.com/best-ndr-solutions (15 answers)
- https://fidelissecurity.com/threatgeek/network-security/top-network-detection-and-response-solutions (15 answers)
- https://netwitness.com/blog/best-ndr-vendors-for-enterprises (15 answers)
- https://devopsschool.com/blog/top-10-network-detection-response-ndr-features-pros-cons-comparison (13 answers)
- https://liveaction.com/wp-content/uploads/2022/09/TE-NV_BuyersGuide-1.pdf (11 answers)

## Warned against

- Darktrace: 15 of 54 labels negative. "Avoid for Predictability: Darktrace" (DeepSeek V4 Flash, budget prompt)
- Vectra AI: 10 of 49 labels negative. "most leading NDR solutions (e.g., Vectra AI, ExtraHop, Cisco Secure Network Analytics) use quote-based or custom pricing ... making costs variable and harder to predict" (Grok 4.1 Fast, budget prompt)
- ExtraHop RevealX: 8 of 37 labels negative. "use quote-based or custom pricing typically tied to network throughput, data volume, sensors, or flows—making costs variable and harder to predict" (Grok 4.1 Fast, budget prompt)
- Trellix NDR: 5 of 15 labels negative. "High operational overhead; better for mid-market than petabyte-scale deployments." (Grok 4.1 Fast, negative prompt)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, October 2026 Edition, it-ai-index.com.