# Vectra AI vs ExtraHop Reveal: which do AI models recommend for NDR, October 2026

IT AI Recommendation Index, October 2026 Edition, Network detection and response. Seven of fourteen models named Vectra AI first on the direct prompt; two named ExtraHop Reveal. Page: https://it-ai-index.com/security/network-detection-and-response/vectra-ai-vs-extrahop-reveal/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Vectra AI | 18% | #2 of 9 | 14% | 36 | 13 of 14 |
| ExtraHop Reveal | 4% | #5 of 9 | 0% | 17 | 10 of 14 |

## The direct prompt, model by model

- MiniMax M2.5: both first (first choices: ExtraHop Reveal, Vectra AI) (alternatives: Arista Awake Security, Corelight Open NDR)
- GPT-5.4 mini: vectra ai first (first choices: ExtraHop RevealX, Vectra AI) (alternatives: Corelight Open NDR, Darktrace)
- Perplexity Sonar: vectra ai first (first choices: Vectra AI) (alternatives: Corelight Open NDR, Darktrace, ExtraHop Reveal)
- Grok 4.1 Fast: vectra ai first (first choices: Vectra AI) (alternatives: Darktrace, ExtraHop (Reveal(x) or now part of Blend))
- DeepSeek V4 Flash: vectra ai first (first choices: Vectra AI) (alternatives: CrowdStrike Falcon Insight, ExtraHop Reveal)
- Kimi K2: vectra ai first (first choices: Vectra AI) (alternatives: Arista NDR, ExtraHop Reveal, Stamus Networks Clear NDR)
- GPT-6 Luna: vectra ai first (first choices: Vectra AI) (alternatives: Corelight Open NDR, ExtraHop RevealX)
- Mistral Small: extrahop reveal first (first choices: ExtraHop Reveal, Vectra AI Platform) (alternatives: Darktrace)
- Claude Haiku 4.5: neither first, one named (first choices: Darktrace) (alternatives: ExtraHop Reveal, Vectra AI)
- Gemini 3.5 Flash: neither first, one named (first choices: Vectra AI Platform) (alternatives: Darktrace, ExtraHop Reveal, Stellar Cyber Open XDR)
- GLM 4.7 FlashX: neither first, one named (first choices: Darktrace) (alternatives: Cisco Secure Network Analytics, Corelight Open NDR, ExtraHop Reveal, FortiNDR, Vectra AI)
- Llama 4 Maverick: neither named (first choices: Gatewatcher AIonIQ) (alternatives: LMNTRIX)
- Qwen 3.7 Flash: neither named (first choices: ExtraHop RevealX) (alternatives: Cisco Secure Network Analytics, Darktrace, Vectra Cognito)
- Muse Glimmer 30B: neither named (first choices: Gatewatcher AIonIQ) (alternatives: Alert Logic Cloud Insight, CrowdStrike Falcon Insight, SentinelOne Singularity)

## What the models said about Vectra AI

- "Options to Avoid on a Tight Budget - Darktrace, Vectra AI, ExtraHop" (DeepSeek V4 Flash, budget prompt, hard negative)
- "No subscription fees, unlike commercial options like Vectra AI, Darktrace, or ExtraHop ($50K–$500K+/year)" (Grok 4.1 Fast, budget prompt, soft negative)
- "High-end NDR platforms (like Darktrace or Vectra AI) are notoriously expensive, complex" (Gemini 3.5 Flash, budget prompt, soft negative)
- "If your primary concern is catching hackers, insider threats, and lateral movement across your network, Vectra AI is highly recommended." (Gemini 3.5 Flash, 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, 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, scale prompt, first choice)

## What the models said about ExtraHop Reveal

- "Real-time visibility into encrypted, east-west, and north-south traffic; cloud-scale machine learning; packet-level insights" (Mistral Small, comparative prompt, first choice)
- "ExtraHop excels when you need deep packet analysis and decryption" (MiniMax M2.5, comparative prompt, first choice)
- "Vectra AI and ExtraHop Reveal(x) are the top recommendations" (Mistral Small, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.