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Dynamic application security testing · November 2026 Edition

Bright Security vs Probely

One of fourteen models named Bright Security first on the direct prompt; one named Probely. Bright Security was named by seven of the fourteen models and Probely by six and Bright Security carries 11 labels and Probely 10, so the shares are not directly comparable.

Bright Security

accepted challenger

Named in one category this edition.

Probely

accepted challenger

Named in two categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 13; printed, not drawn.
Labels1110A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Bright Security reading right to left. Rank and label count are printed, not drawn.Invicti was named alongside these two in twelve of the fourteen direct answers. Invicti vs Bright Security · Invicti vs Probely · OWASP ZAP vs Bright Security

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Bright SecurityFirst choices, of fourteen modelsProbely
Direct11
Paraphrase00
Comparative00
Budget-constrained00
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 Bright Security and Probely stood in it.
ModelDirectBSParaphraseBSComparativeBSBudget-constrainedBSScale-constrainedBSNegativeBS
Claude Haiku 4.5BSBS
GPT-5.4 mini
Gemini 3.5 FlashBS
Perplexity SonarBS
Grok 4.20BS
Mistral Small
DeepSeek V4 FlashBSBS
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2BS
GLM 4.7 FlashX
MiniMax M2.5BS
GPT-6 Luna
Muse Glimmer 30B
BS Bright Security ProbelyBS first choiceBS named as an alternativeBS argued againstblank: not namedEach cell is one answer, Bright Security on the left and Probely on the right.

The direct prompt

The plain question, one answer per model, grouped by where Bright Security and Probely stood in it.

Bright Security first, Probely not the choice

1 of 14 modelsProbely was named in the answer but not as the choice, or not at all.
MiniMax M2.5Acunetix, Bright Security alternatives: Detectify, Intruder

Probely first, Bright Security not the choice

1 of 14 modelsBright Security was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXOWASP ZAP, Probely alternatives: Burp Suite, Invicti, StackHawk

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.
Claude Haiku 4.5Invicti alternatives: Acunetix, Bright Security, StackHawk
Gemini 3.5 FlashStackHawk alternatives: Acunetix, Bright Security, Escape, Invicti
Perplexity SonarInvicti alternatives: Bright Security, Escape, StackHawk
Grok 4.20Invicti alternatives: Escape, Intruder, Probely, StackHawk
Kimi K2Acunetix, Intruder alternatives: Bright Security, Detectify

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniStackHawk alternatives: Burp Suite, Invicti
Mistral SmallAcunetix, Invicti alternatives: OWASP ZAP, StackHawk
DeepSeek V4 FlashAcunetix alternatives: Invicti, OWASP ZAP, StackHawk
Llama 4 MaverickInvicti alternatives: Burp Suite, OWASP ZAP, StackHawk
Qwen 3.7 FlashInvicti alternatives: Acunetix, Apidog, Postman, Veracode DAST
GPT-6 LunaStackHawk alternatives: Burp Suite DAST, Invicti
Muse Glimmer 30BInvicti alternatives: Acunetix, StackHawk

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
Probely leads by four points.
Probely4%#5 of 13
Bright Security0%#– of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Bright Security2%#5 of 13
Probely2%#7 of 13
The full mid-market standing →
Enterprise
The order flips: Bright Security leads at enterprise.
Bright Security2%#10 of 14
Probely0%#– of 14
The full enterprise standing →

What the models said about Bright Security

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

“I'd recommend starting with Acunetix or Bright Security” MiniMax M2.5 · direct prompt · first choice
“Use modern AI-assisted DAST tools (Bright Security, Invicti, Checkmarx DAST, Detectify) that support modern architectures” DeepSeek V4 Flash · negative prompt · alternative
“Bright Security is best for mid-market companies with API-first architectures seeking early SDLC security integration.” Claude Haiku 4.5 · paraphrase prompt · alternative

What the models said about Probely

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

“Best Overall Value: Probely ... My top recommendation: Start with a trial of Probely or OWASP ZAP” GLM 4.7 FlashX · direct prompt · first choice
“Top-Rated Options (from 2023–2025 reviews): Probely, StackHawk, Rapid7 InsightAppSec” Grok 4.20 · negative prompt · alternative
“StackHawk or Probely — Developer-friendly, strong CI/CD focus.” Grok 4.20 · scale prompt · alternative
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.