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Network detection and response · October 2026 Edition

Corelight Open NDR vs ExtraHop Reveal

Zero of fourteen models named Corelight Open NDR first on the direct prompt; two named ExtraHop Reveal. Corelight Open NDR was named by fourteen of the fourteen models and ExtraHop Reveal by ten and Corelight Open NDR carries 40 labels and ExtraHop Reveal 17, so the shares are not directly comparable.

Corelight Open NDR

accepted challenger

Named in one category this edition.

ExtraHop Reveal

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 9; printed, not drawn.
Labels4017A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Corelight Open NDR reading right to left. Rank and label count are printed, not drawn.Vectra AI was named alongside these two in nine of the fourteen direct answers. ManageEngine NetFlow Analyzer vs Corelight Open NDR · ManageEngine NetFlow Analyzer vs ExtraHop Reveal · Vectra AI 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.
Corelight Open NDRFirst choices, of fourteen modelsExtraHop Reveal
Direct021 against Corelight Open NDR
Paraphrase00
Comparative02
Budget-constrained203 against Corelight Open NDR
Scale-constrained001 against Corelight Open NDR
Negative104 against Corelight Open NDR
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 October 2026 Edition, Corelight Open NDR and ExtraHop Reveal were named in the same answer twenty-one times, of the 105 answers naming Corelight Open NDR and the 40 naming ExtraHop Reveal. In those answers ExtraHop Reveal took the first choice five times and Corelight Open NDR zero.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Corelight Open NDR and ExtraHop Reveal stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Corelight Open NDR ExtraHop Reveal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Corelight Open NDR on the left and ExtraHop Reveal on the right.

The direct prompt

The plain question, one answer per model, grouped by where Corelight Open NDR and ExtraHop Reveal stood in it.

ExtraHop Reveal first, Corelight Open NDR an alternative

2 of 14 modelsCorelight Open NDR was named in the answer but not as the choice, or not at all.
Mistral SmallExtraHop Reveal, Vectra AI Platform alternatives: Darktrace
MiniMax M2.5ExtraHop Reveal, Vectra AI alternatives: Arista Awake Security, Corelight Open NDR

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Darktrace alternatives: ExtraHop Reveal, Vectra AI
GPT-5.4 miniExtraHop RevealX, Vectra AI alternatives: Corelight Open NDR, Darktrace
Gemini 3.5 FlashVectra AI Platform alternatives: Darktrace, ExtraHop Reveal, Stellar Cyber Open XDR
Perplexity SonarVectra AI alternatives: Corelight Open NDR, Darktrace, ExtraHop Reveal
DeepSeek V4 FlashVectra AI alternatives: CrowdStrike Falcon Insight, ExtraHop Reveal
Kimi K2Vectra AI alternatives: Arista NDR, ExtraHop Reveal, Stamus Networks Clear NDR
GLM 4.7 FlashXDarktrace alternatives: Cisco Secure Network Analytics, Corelight Open NDR, ExtraHop Reveal, FortiNDR, Vectra AI
GPT-6 LunaVectra AI alternatives: Corelight Open NDR, ExtraHop RevealX

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.1 FastVectra AI alternatives: Darktrace, ExtraHop (Reveal(x) or now part of Blend)
Llama 4 MaverickGatewatcher AIonIQ alternatives: LMNTRIX
Qwen 3.7 FlashExtraHop RevealX alternatives: Cisco Secure Network Analytics, Darktrace, Vectra Cognito
Muse Glimmer 30BGatewatcher AIonIQ alternatives: Alert Logic Cloud Insight, CrowdStrike Falcon Insight, SentinelOne Singularity

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
Corelight Open NDR leads by four points.
Corelight Open NDR4%#4 of 12
ExtraHop Reveal0%#10 of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Corelight Open NDR4%#4 of 9
ExtraHop Reveal4%#5 of 9
The full mid-market standing →
Enterprise
The order flips: ExtraHop Reveal leads at enterprise.
ExtraHop Reveal9%#3 of 7
Corelight Open NDR6%#4 of 7
The full enterprise standing →

What the models said about Corelight Open NDR

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Corelight — commercial Zeek sensors start around $150K+/year” DeepSeek V4 Flash · budget prompt · hard negative
“For open-telemetry platforms such as Corelight buyers are warned about "Cost growth tied to throughput, sensor count, data retention, or site expansion"” Muse Glimmer 30B · negative prompt · soft negative
“It can be powerful, but it may still require more in-house skill and infrastructure than a true budget buyer wants.” GPT-5.4 mini · budget prompt · soft negative
“vendors (like Corelight) that allow you to deploy unlimited virtual sensors and charge based on enterprise-wide licensing rather than gigabyte-level "taxes"” Gemini 3.5 Flash · negative prompt · first choice
“SMBs can leverage Corelight or Awake Security for cost-effective monitoring” Claude Haiku 4.5 · budget prompt · first choice
“Corelight (based on Zeek) or open-source Zeek are the best choices” Mistral Small · budget prompt · first choice

What the models said about ExtraHop Reveal

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“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
Also compared

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.