Zero of fourteen models named DefectDojo first on the direct prompt; two named ArmorCode. Both were named by all fourteen models and DefectDojo carries 26 labels and ArmorCode 40, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
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.
Across every category in the November 2026 Edition, DefectDojo and ArmorCode were named in the same answer forty-two times, of the 81 answers naming DefectDojo and the 140 naming ArmorCode. In those answers ArmorCode took the first choice four times and DefectDojo four.
| 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 |
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.
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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Multiple AI models explicitly recommend avoiding these for smaller organizations due to high costs and complexity.” Mistral Small · negative prompt · hard negative
“High criticism rate (around 74%, with many "hard negative" labels)... overly complex for non-large orgs” Grok 4.20 · negative prompt · hard negative
“enterprise-grade ASPM platforms like ArmorCode, Cycode, and Apiiro may have pricing models that are not suitable for small or mid-sized businesses” Llama 4 Maverick · negative prompt · soft negative
“If you need broad scanner aggregation and workflow automation on a controlled budget: ArmorCode. Strong integration count and lifecycle management” Muse Glimmer 30B · paraphrase prompt · first choice
“Short answer: ArmorCode—if by ASPM you mean an independent layer that pulls findings from the security tools you already use” GPT-6 Luna · direct prompt · first choice
“my default pick would be ArmorCode unless you already have a strong reason to standardize on another vendor” GPT-5.4 mini · direct prompt · first choice
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.