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Application security posture management · November 2026 Edition

DefectDojo vs Wiz

Zero of fourteen models named DefectDojo first on the direct prompt; one named Wiz. DefectDojo was named by fourteen of the fourteen models and Wiz by eleven and DefectDojo carries 26 labels and Wiz 24, so the shares are not directly comparable.

DefectDojo

accepted challenger

Named in three categories this edition.

Wiz

criticized challenger

Named in seventeen categories this edition.

First-choice share12%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 14; printed, not drawn.
Labels2624A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, DefectDojo reading right to left. Rank and label count are printed, not drawn.Aikido Security was named alongside these two in twelve of the fourteen direct answers. Aikido Security vs DefectDojo · Aikido Security vs Wiz · DefectDojo vs Cycode ASPM

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 application security posture management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DefectDojoFirst choices, of fourteen modelsWiz
Direct012 against Wiz
Paraphrase01
Comparative022 against DefectDojo
Budget-constrained603 against Wiz
Scale-constrained00
Negative001 against DefectDojo · 2 against Wiz
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 DefectDojo and Wiz stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
DefectDojo Wiz first choice named as an alternative argued againstblank: not namedEach cell is one answer, DefectDojo on the left and Wiz on the right.

The direct prompt

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

Wiz first, DefectDojo not the choice

1 of 14 modelsDefectDojo was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXWiz alternatives: Aikido Security, Apiiro, CrowdStrike Falcon Cloud Security, OX Security

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 miniArmorCode alternatives: Checkmarx One ASPM, CrowdStrike Falcon ASPM, Phoenix Security, Wiz
Perplexity SonarAikido Security alternatives: Apiiro, ArmorCode, Cycode ASPM, Legit Security, Wiz
Llama 4 MaverickAikido Security alternatives: DefectDojo, Snyk
Qwen 3.7 FlashAikido Security alternatives: Cycode ASPM, DefectDojo, Jit, OX Security, Snyk
Muse Glimmer 30BAikido Security alternatives: DefectDojo, Snyk

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Aikido Security alternatives: Cycode ASPM, Jit
Gemini 3.5 FlashAikido Security alternatives: ArmorCode, Cycode ASPM, Legit Security, OX Security, Snyk AppRisk
Grok 4.20Aikido Security alternatives: Apiiro, ArmorCode, Cycode ASPM, OX Security, Snyk
Mistral SmallAikido Security
DeepSeek V4 FlashAikido Security alternatives: ArmorCode, CrowdStrike Falcon ASPM, Cycode ASPM
Kimi K2Aikido Security, Cycode ASPM alternatives: ArmorCode, Legit Security
MiniMax M2.5Aikido Security, Snyk alternatives: Cycode ASPM, Palo Alto Networks Cortex Cloud
GPT-6 LunaArmorCode alternatives: Cycode ASPM, GitLab Ultimate

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
DefectDojo leads by two points.
DefectDojo2%#5 of 14
Wiz0%#9 of 14
The full small business standing →
Mid-marketThe figures above
DefectDojo leads by eight points.
DefectDojo12%#2 of 14
Wiz4%#6 of 14
The full mid-market standing →
Enterprise
The order flips: Wiz leads at enterprise.
Wiz11%#5 of 12
DefectDojo4%#7 of 12
The full enterprise standing →

What the models said about DefectDojo

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

“DefectDojo may be a reasonable findings-management and aggregation choice, but OWASP notes it does not provide native reachability analysis. Be cautious if you expect that capability out of the box” GPT-6 Luna · negative prompt · soft negative
“Primarily an open-source aggregation and vulnerability-workflow hub rather than a full native ASPM platform.” Perplexity Sonar · comparative prompt · soft negative
“though it requires internal resources to maintain and configure” Gemini 3.5 Flash · comparative prompt · soft negative
“If your budget for software licenses is $0, OWASP DefectDojo is the industry standard for open-source ASPM” Gemini 3.5 Flash · budget prompt · first choice
“If budget = $0 and you have engineering capacity: DefectDojo or Faraday for self-hosted aggregation.” Muse Glimmer 30B · budget prompt · first choice
“Start with OWASP DefectDojo if you want the lowest-cost way to aggregate findings” GPT-5.4 mini · budget prompt · first choice

What the models said about Wiz

No label in this category carried a quote.

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.