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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| ExtraHop Reveal | 4% | #5 of 9 | 0% | 17 | 10 of 14 |
| ExtraHop RevealX | 4% | #6 of 9 | 15% | 26 | 12 of 14 |

## The direct prompt, model by model

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

## 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)

## What the models said about ExtraHop RevealX

- "Options to Avoid on a Tight Budget - Darktrace, Vectra AI, ExtraHop" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Licensing complexity (based on Discovered Devices); can generate high alert volumes" (MiniMax M2.5, negative prompt, soft negative)
- "commercial options like Vectra AI, Darktrace, or ExtraHop ($50K–$500K+/year)" (Grok 4.1 Fast, budget prompt, soft negative)
- "The Overall Industry Leader: ExtraHop RevealX ... named a Leader in the very first Gartner Magic Quadrant" (Qwen 3.7 Flash, direct prompt, first choice)
- "ExtraHop if your main need is excellent network visibility and fast investigations." (GPT-5.4 mini, direct prompt, first choice)
- "is a stronger enterprise-grade option, but it appears better suited to larger or more advanced deployments than a typical mid-sized company" (Perplexity Sonar, paraphrase prompt, alternative)

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.