Seven of fourteen models named Invicti first on the direct prompt; three named StackHawk. Both were named by all fourteen models and Invicti carries 51 labels and StackHawk 41, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories 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 dynamic application security testing page.
Across every category in the November 2026 Edition, Invicti and StackHawk were named in the same answer seventy-eight times, of the 174 answers naming Invicti and the 186 naming StackHawk. In those answers StackHawk took the first choice thirteen times and Invicti twenty-six.
| 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.
“it is advisable to avoid or proceed with extreme caution when using OWASP ZAP or Invicti in automated pipelines” Mistral Small · negative prompt · hard negative
“One 2026 benchmark showed 23% false positive rate — the highest among tested tools (though it had other strengths)” Kimi K2 · negative prompt · soft negative
“some configurations of Invicti (formerly Acunetix in older forms; ~23% false positive rate in one test)” Grok 4.20 · negative prompt · soft negative
“Invicti leads on "proof-based scanning" — it actively exploits vulnerabilities to prove they are real, dramatically reducing false positives.” Kimi K2 · comparative prompt · first choice
“Invicti (formerly Netsparker) — Strong on accuracy/proof-based scanning; good for enterprises moving to fewer false positives.” Grok 4.20 · scale prompt · first choice
“the tool most frequently cited as the "best all-around" choice for a mid-size B2B company is Invicti (formerly Netsparker)” MiniMax M2.5 · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“its own docs acknowledge that scan results can include false positives, so findings still need review and confirmation” GPT-5.4 mini · negative prompt · soft negative
“Modern mid-market / DevSecOps native | StackHawk, Escape, Bright (NeuraLegion)” Kimi K2 · scale prompt · first choice
“the best DAST tool is usually StackHawk if your team is developer-driven” GPT-5.4 mini · direct prompt · first choice
“StackHawk — Best for Developer-Centric & Modern API-First B2B SaaS” Gemini 3.5 Flash · paraphrase 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.