Network detection and response · November 2026 Edition
ExtraHop Reveal vs Darktrace
Three of fourteen models named ExtraHop Reveal first on the direct prompt; one named Darktrace. ExtraHop Reveal was named by ten of the fourteen models and Darktrace by fourteen and ExtraHop Reveal carries 15 labels and Darktrace 47, so the shares are not directly comparable.
Named in one category this edition.
Named in eleven categories this edition.
First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%38%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 10; printed, not drawn.
Labels1547A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ExtraHop Reveal reading right to left. Rank and label count are printed, not drawn.Vectra AI Platform was named alongside these two in thirteen of the fourteen direct answers. Vectra AI Platform vs ExtraHop Reveal · Vectra AI Platform vs Darktrace · ExtraHop Reveal vs ManageEngine NetFlow Analyzer
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; every quote names the model and the prompt it came from. Both figures come from the network detection and response page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ExtraHop RevealFirst choices, of fourteen modelsDarktrace
Direct312 against Darktrace
Paraphrase00
Comparative15
Budget-constrained001 against ExtraHop Reveal · 4 against Darktrace
Scale-constrained001 against Darktrace
Negative1011 against Darktrace
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, ExtraHop Reveal and Darktrace were named in the same answer thirty-eight times, of the 42 answers naming ExtraHop Reveal and the 236 naming Darktrace. In those answers Darktrace took the first choice five times and ExtraHop Reveal seven.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where ExtraHop Reveal and Darktrace stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | |
ExtraHop Reveal Darktrace first choice named as an alternative argued againstblank: not namedEach cell is one answer, ExtraHop Reveal on the left and Darktrace on the right.The direct prompt
The plain question, one answer per model, grouped by where ExtraHop Reveal and Darktrace stood in it.
ExtraHop Reveal first, Darktrace an alternative
3 of 14 modelsDarktrace was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashExtraHop Reveal, Vectra AI Platform alternatives: Darktrace, Fortinet FortiNDR, Sophos NDR, Stellar Cyber Open XDR
Llama 4 MaverickExtraHop Reveal, Vectra AI Platform alternatives: Corelight Open NDR, Gatewatcher AIonIQ, ManageEngine NetFlow Analyzer
MiniMax M2.5ExtraHop Reveal alternatives: Arista NDR, Darktrace
Darktrace first, ExtraHop Reveal an alternative
1 of 14 modelsExtraHop Reveal was named in the answer but not as the choice, or not at all.GLM 4.7 FlashXDarktrace alternatives: Arista NDR, Cisco Secure Network Analytics, ExtraHop Reveal, Vectra AI Platform
Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Vectra AI Platform alternatives: Darktrace, ExtraHop RevealX, Muninn
GPT-5.4 miniVectra AI Platform alternatives: Corelight Open NDR, Darktrace, ExtraHop Reveal
Perplexity SonarVectra AI Platform alternatives: Cisco Secure Network Analytics, Corelight Open NDR, Darktrace, ExtraHop RevealX, FortiNDR
Grok 4.20Vectra AI Platform alternatives: Corelight Open NDR, Darktrace, ExtraHop RevealX, Stellar Cyber Open XDR
Mistral SmallTrend Vision One, Vectra AI Platform alternatives: Darktrace, ExtraHop RevealX
DeepSeek V4 FlashVectra AI Platform alternatives: Darktrace, ExtraHop Reveal
Qwen 3.7 FlashVectra AI Platform alternatives: Corelight Open NDR, ExtraHop Reveal
Kimi K2Vectra AI Platform alternatives: ExtraHop Reveal, Trend Vision One, WatchGuard ThreatSync+ NDR
GPT-6 LunaVectra AI Platform alternatives: Darktrace, ExtraHop RevealX
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Muse Glimmer 30BManageEngine NetFlow Analyzer alternatives: Vectra AI Platform
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
ExtraHop Reveal0%#12 of 15Darktrace0%#15 of 15Mid-marketThe figures above
ExtraHop Reveal leads by four points.
ExtraHop Reveal6%#2 of 10Darktrace2%#8 of 10Enterprise
The order flips: Darktrace leads at enterprise.
Darktrace6%#4 of 8ExtraHop Reveal4%#6 of 8What the models said about ExtraHop Reveal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“over pricier alternatives like Vectra AI, Darktrace, ExtraHop Reveal(x), or Corelight” Grok 4.20 · budget prompt · soft negative
“For mid-market specifically, ExtraHop Reveal(x) and Arista Awake Security are frequently recommended due to their balance of high-signal detections” MiniMax M2.5 · direct prompt · first choice
“Vectra AI or ExtraHop Reveal(x) | Provides the best threat detection accuracy, low false positives, and deep investigation capabilities.” Gemini 3.5 Flash · direct prompt · first choice
“likely to be either ExtraHop Reveal(x) or Vectra AI, as they are considered the "sweet spots" for mid-market companies” Llama 4 Maverick · direct prompt · first choice
What the models said about Darktrace
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“these enterprise-level NDR platforms should generally be avoided or approached with caution if you're a small business” MiniMax M2.5 · negative prompt · hard negative
“What to Avoid on a Tight Budget ... Darktrace — premium pricing, often better for large enterprises” DeepSeek V4 Flash · budget prompt · hard negative
“Darktrace is the platform most frequently cited as one to avoid or approach with caution” Mistral Small · negative prompt · hard negative
“Market leaders tend to be ExtraHop, Vectra AI, and Darktrace in pure-play NDR” Grok 4.20 · comparative prompt · first choice
“Choose Darktrace for self-learning AI with autonomous response across multi-surface.” Muse Glimmer 30B · comparative prompt · first choice
“Darktrace | Leader | Self-learning AI that autonomously models normal behavior” MiniMax M2.5 · comparative prompt · first choice
Also compared
Vectra AI Platform vs ExtraHop RevealVectra AI Platform vs DarktraceExtraHop Reveal vs ManageEngine NetFlow AnalyzerExtraHop Reveal vs Corelight Open NDRExtraHop Reveal vs Cisco Secure Network AnalyticsExtraHop Reveal vs ExtraHop RevealXExtraHop Reveal vs Stellar Cyber Open XDRManageEngine NetFlow Analyzer vs DarktraceCorelight Open NDR vs DarktraceCisco Secure Network Analytics vs DarktraceExtraHop RevealX vs DarktraceStellar Cyber Open XDR vs DarktraceAll twenty-eight head-to-head pages and the full NDR standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.