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Digital risk protection · October 2026 Edition

UpGuard BreachSight vs Flare

Eight of fourteen models named UpGuard BreachSight first on the direct prompt; zero named Flare. UpGuard BreachSight was named by thirteen of the fourteen models and Flare by six and UpGuard BreachSight carries 21 labels and Flare 12, so the shares are not directly comparable.

UpGuard BreachSight

accepted challenger

Named in two categories this edition.

Flare

accepted challenger

Named in two categories this edition.

First-choice share22%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 11; printed, not drawn.
Labels2112A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, UpGuard BreachSight reading right to left. Rank and label count are printed, not drawn.UpGuard BreachSight vs ZeroFox · UpGuard BreachSight vs SOCRadar Extended Threat Intelligence · UpGuard BreachSight vs BrandShield

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 digital risk protection page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
UpGuard BreachSightFirst choices, of fourteen modelsFlare
Direct80
Paraphrase30
Comparative00
Budget-constrained011 against UpGuard BreachSight
Scale-constrained00
Negative00
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 UpGuard BreachSight and Flare 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
UpGuard BreachSight Flare first choice named as an alternative argued againstblank: not namedEach cell is one answer, UpGuard BreachSight on the left and Flare on the right.

The direct prompt

The plain question, one answer per model, grouped by where UpGuard BreachSight and Flare stood in it.

UpGuard BreachSight first, Flare not the choice

8 of 14 modelsFlare was named in the answer but not as the choice, or not at all.
Perplexity SonarRapid7 Threat Command, UpGuard BreachSight alternatives: CybelAngel
Grok 4.1 FastUpGuard BreachSight alternatives: Rapid7 Threat Command, ZeroFox
Mistral SmallUpGuard BreachSight alternatives: Kaduu, Recorded Future
DeepSeek V4 FlashUpGuard BreachSight alternatives: Netcraft, Rapid7, SOCRadar Extended Threat Intelligence, ZeroFox
Kimi K2UpGuard BreachSight alternatives: Fortra Brand Protection, ZeroFox
GLM 4.7 FlashXUpGuard BreachSight alternatives: Bolster
MiniMax M2.5UpGuard BreachSight alternatives: CrowdStrike Falcon, Group-IB Digital Risk Protection, Recorded Future, ZeroFox
Muse Glimmer 30BUpGuard BreachSight alternatives: CybelAngel

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Cyble Vision alternatives: BlueVoyant Sky, CrowdStrike Falcon, Rapid7 Threat Command, UpGuard BreachSight
GPT-5.4 miniZeroFox alternatives: Bitsight, Proofpoint Digital Risk Protection, SecurityScorecard, UpGuard BreachSight
Gemini 3.5 FlashSOCRadar Extended Threat Intelligence alternatives: Flare, UpGuard BreachSight, ZeroFox
Llama 4 MaverickFortra Brand Protection alternatives: Kaduu, Recorded Future, UpGuard BreachSight

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashRapid7 alternatives: Corvus Logic, Cyberhaven, Recorded Future, ThreatConnect
GPT-6 LunaCybelAngel Core alternatives: Bolster, BrandShield, ZeroFox

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
UpGuard BreachSight leads by six points.
UpGuard BreachSight11%#2 of 8
Flare6%#4 of 8
The full small business standing →
Mid-marketThe figures above
UpGuard BreachSight leads by twenty points.
UpGuard BreachSight22%#1 of 11
Flare2%#6 of 11
The full mid-market standing →
Enterprise
UpGuard BreachSight leads by two points.
UpGuard BreachSight2%#6 of 9
Flare0%#– of 9
The full enterprise standing →

What the models said about UpGuard BreachSight

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

“What to avoid ... UpGuard BreachSight: $5,999/year minimum.” DeepSeek V4 Flash · budget prompt · hard negative
“UpGuard is the most frequently named fit for consolidated DRP + vendor / user risk outcomes without multiple point tools” Muse Glimmer 30B · direct prompt · first choice
“UpGuard is frequently highlighted as a top digital risk protection (DRP) platform for mid-market B2B companies” Mistral Small · direct prompt · first choice
“I would recommend UpGuard because: ✅ Specifically built for mid-market” MiniMax M2.5 · direct prompt · first choice

What the models said about Flare

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

“I'd trial Flare first—but I wouldn't commit until you get a written quote” GPT-6 Luna · budget 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.