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Index Security operations Awareness training › KnowBe4 vs Wizer
Security awareness training · September 2026 Edition

KnowBe4 vs Wizer

Seven of twelve models named KnowBe4 first on the direct prompt; zero named Wizer. KnowBe4 was named by twelve of the twelve models and Wizer by nine and KnowBe4 carries 59 labels and Wizer 11, so the shares are not directly comparable.

KnowBe4

endorsed leader

Named in two categories this edition.

Wizer

accepted challenger

Named in one category this edition.

First-choice share42%20%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 12; printed, not drawn.
Labels5911A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, KnowBe4 reading right to left. Rank and label count are printed, not drawn.Hoxhunt was named alongside these two in ten of the twelve direct answers. KnowBe4 vs Hoxhunt · Wizer vs Hoxhunt

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 security awareness training page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
KnowBe4First choices, of twelve modelsWizer
Direct701 against KnowBe4
Paraphrase111
Comparative70
Budget-constrained184 against KnowBe4
Scale-constrained00
Negative007 against KnowBe4
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where KnowBe4 and Wizer stood in it.

KnowBe4 first, Wizer not the choice

7 of 12 modelsWizer was named in the answer but not as the choice, or not at all.
GPT-5.4 miniKnowBe4 alternatives: Adaptive, Hoxhunt
Grok 4.1 FastKnowBe4 alternatives: Arctic Wolf Managed Security Awareness, Hoxhunt, MetaCompliance, Proofpoint ZenGuide
Mistral SmallInfosec IQ, KnowBe4
DeepSeek V4 FlashHoxhunt, KnowBe4 alternatives: Infosec IQ, Proofpoint ZenGuide
Kimi K2KnowBe4 alternatives: Hoxhunt, Proofpoint ZenGuide
GLM 4.7 FlashXHoxhunt, KnowBe4 alternatives: Arctic Wolf Managed Security Awareness, Proofpoint ZenGuide
MiniMax M2.5Arctic Wolf Managed Security Awareness, KnowBe4 alternatives: MetaCompliance, Proofpoint ZenGuide

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Hoxhunt, KnowBe4, RansomLeak
Perplexity SonarHoxhunt alternatives: Infosec IQ, KnowBe4, MetaCompliance, SoSafe
Llama 4 Maverickno first choice alternatives: Arctic Wolf Managed Security Awareness, Hoxhunt, KnowBe4, MetaCompliance, Proofpoint ZenGuide, RansomLeak, SoSafe
Qwen 3.7 FlashInfosec IQ alternatives: Hoxhunt, KnowBe4, RansomLeak

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashHoxhunt alternatives: Adaptive Security, Huntress Managed Security Awareness Training, NINJIO

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
KnowBe4 leads by eight points.
KnowBe428%#2 of 9
Wizer20%#3 of 9
The full small business standing →
Mid-marketThe figures above
KnowBe4 leads by twenty-two points.
KnowBe442%#1 of 12
Wizer20%#2 of 12
The full mid-market standing →
Enterprise
KnowBe4 leads by sixty-five points.
KnowBe465%#1 of 8
Wizer0%#– of 8
The full enterprise standing →

What the models said about KnowBe4

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

“Trustpilot Rating: 1.9/5 stars, with 85% of reviews being 1-star... training content is outdated, repetitive, and of poor quality” Mistral Small · negative prompt · hard negative
“Here are the primary platforms you should be cautious about... KnowBe4 has extremely low ratings on user-driven consumer sites” Qwen 3.7 Flash · negative prompt · hard negative
“The admin panel is notoriously complex and clunky... gates its advanced AI features... behind its more expensive Diamond tier, which can quickly inflate the cost.” Gemini 3.5 Flash · direct prompt · soft negative
“Start with KnowBe4 if you want proven scale, vast resources, and B2B compliance ease—it's the safe, high-adoption choice for most mid-market firms.” Grok 4.1 Fast · direct prompt · first choice
“KnowBe4 is the top recommendation due to its balance of ease of use, comprehensive features, and strong track record in the mid-market segment” Mistral Small · paraphrase prompt · first choice
“the best phishing simulation and training tool for a mid-sized B2B company would be KnowBe4, as it is recommended for SMB and mid-market breadth” Llama 4 Maverick · paraphrase prompt · first choice

What the models said about Wizer

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

“If you want something incredibly easy to deploy, highly effective, and very budget-friendly, Wizer is a top recommendation.” Gemini 3.5 Flash · paraphrase prompt · first choice
“I'd start with Wizer's free tier if you truly have zero budget, or Curricula if you can spend a modest amount” DeepSeek V4 Flash · budget prompt · first choice
“Wizer is frequently cited as the best choice for companies that want to start without paying immediately” Qwen 3.7 Flash · budget prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.