Network detection and response · November 2026 Edition
ExtraHop Reveal vs ManageEngine NetFlow Analyzer
Three of fourteen models named ExtraHop Reveal first on the direct prompt; one named ManageEngine NetFlow Analyzer. ExtraHop Reveal was named by ten of the fourteen models and ManageEngine NetFlow Analyzer by eight and ExtraHop Reveal carries 15 labels and ManageEngine NetFlow Analyzer 11, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share6%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 10; printed, not drawn.
Labels1511A 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 ManageEngine NetFlow Analyzer · ExtraHop Reveal vs Corelight Open NDR
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 modelsManageEngine NetFlow Analyzer
Direct311 against ManageEngine NetFlow Analyzer
Paraphrase02
Comparative10
Budget-constrained001 against ExtraHop Reveal
Scale-constrained00
Negative101 against ManageEngine NetFlow Analyzer
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where ExtraHop Reveal and ManageEngine NetFlow Analyzer 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 ManageEngine NetFlow Analyzer first choice named as an alternative argued againstblank: not namedEach cell is one answer, ExtraHop Reveal on the left and ManageEngine NetFlow Analyzer on the right.The direct prompt
The plain question, one answer per model, grouped by where ExtraHop Reveal and ManageEngine NetFlow Analyzer stood in it.
ExtraHop Reveal first, ManageEngine NetFlow Analyzer an alternative
3 of 14 modelsManageEngine NetFlow Analyzer 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
ManageEngine NetFlow Analyzer first, ExtraHop Reveal not the choice
1 of 14 modelsExtraHop Reveal was named in the answer but not as the choice, or not at all.Muse Glimmer 30BManageEngine NetFlow Analyzer alternatives: Vectra AI Platform
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniVectra AI Platform alternatives: Corelight Open NDR, Darktrace, ExtraHop Reveal
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
GLM 4.7 FlashXDarktrace alternatives: Arista NDR, Cisco Secure Network Analytics, ExtraHop Reveal, Vectra AI Platform
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Vectra AI Platform alternatives: Darktrace, ExtraHop RevealX, Muninn
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
GPT-6 LunaVectra AI Platform alternatives: Darktrace, ExtraHop RevealX
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
ManageEngine NetFlow Analyzer leads by four points.
ManageEngine NetFlow Analyzer4%#6 of 15ExtraHop Reveal0%#12 of 15Mid-marketThe figures above
Level: the same share of first choices.
ExtraHop Reveal6%#2 of 10ManageEngine NetFlow Analyzer6%#3 of 10Enterprise
The order flips: ExtraHop Reveal leads at enterprise.
ExtraHop Reveal4%#6 of 8ManageEngine NetFlow Analyzer2%#– 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 ManageEngine NetFlow Analyzer
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“it is noted as a new entrant with only 21% share and 15% acceptance as a challenger, suggesting it may not yet be a mature or widely trusted solution” Mistral Small · negative prompt · soft negative
“Not a full "Response" suite; often used as part of a larger monitoring stack rather than a standalone security tool.” Qwen 3.7 Flash · direct prompt · soft negative
“ManageEngine provides excellent value with comprehensive flow analysis at a reasonable price point” MiniMax M2.5 · paraphrase prompt · first choice
“the best default recommendation is ManageEngine NetFlow Analyzer” Perplexity Sonar · paraphrase prompt · first choice
“01 ManageEngine NetFlow Analyzer 21%” Muse Glimmer 30B · direct prompt · first choice
Also compared
Vectra AI Platform vs ExtraHop RevealVectra AI Platform vs ManageEngine NetFlow AnalyzerExtraHop Reveal vs Corelight Open NDRExtraHop Reveal vs Cisco Secure Network AnalyticsExtraHop Reveal vs ExtraHop RevealXExtraHop Reveal vs Stellar Cyber Open XDRExtraHop Reveal vs DarktraceManageEngine NetFlow Analyzer vs Corelight Open NDRManageEngine NetFlow Analyzer vs Cisco Secure Network AnalyticsManageEngine NetFlow Analyzer vs ExtraHop RevealXManageEngine NetFlow Analyzer vs Stellar Cyber Open XDRManageEngine NetFlow Analyzer 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.