AttackIQ Flex vs Pentera
Zero of fourteen models named AttackIQ Flex first on the direct prompt; zero named Pentera. AttackIQ Flex was named by eight of the fourteen models and Pentera by fourteen and AttackIQ Flex carries 10 labels and Pentera 39, so the shares are not directly comparable.
Named in one category 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 breach and attack simulation page.
By framing
AttackIQ FlexFirst choices, of fourteen modelsPentera
Across every category in the November 2026 Edition, AttackIQ Flex and Pentera were named in the same answer seventeen times, of the 35 answers naming AttackIQ Flex and the 133 naming Pentera. In those answers Pentera took the first choice zero times and AttackIQ Flex eleven.
Every model, every framing
| 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 | |
AttackIQ Flex Pentera first choice named as an alternative argued againstblank: not namedEach cell is one answer, AttackIQ Flex on the left and Pentera on the right.The direct prompt
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.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
AttackIQ Flex18%#2 of 11Pentera2%#7 of 11AttackIQ Flex13%#3 of 13Pentera4%#7 of 13Pentera7%#5 of 8AttackIQ Flex2%#– of 8What the models said about AttackIQ Flex
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“The $0 tier is quite limited compared to paid options” GLM 4.7 FlashX · budget prompt · soft negative
“The best breach and attack simulation platform for a company with a limited budget is AttackIQ Flex, as it is available for a published price starting at free.” Llama 4 Maverick · budget prompt · first choice
“AttackIQ Flex is highlighted as a strong option for those needing real results quickly, with a starting price that begins at free” Mistral Small · budget prompt · first choice
“For a company with a limited budget, AttackIQ Flex is the best starting point.” Perplexity Sonar · budget prompt · first choice
What the models said about Pentera
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Received a 70% negative rate in small business recommendations, indicating significant user dissatisfaction” Mistral Small · negative prompt · hard negative
“Avoid committing immediately to platforms such as SafeBreach, Pentera, or Mandiant” Perplexity Sonar · budget prompt · hard negative
“What to avoid if budget is tiny - Pentera (~$75k+/year)” DeepSeek V4 Flash · budget prompt · hard negative
“I recommend Pentera as the top security control validation tool for a mid-sized B2B company.” Grok 4.20 · paraphrase prompt · first choice
“Pentera: Highly automated, focuses heavily on remediation workflows and risk scoring.” Qwen 3.7 Flash · scale prompt · first choice
“Pentera (formerly Pcysys) built its platform around automated, agentless validation of internal and external attack surfaces” Claude Haiku 4.5 · direct prompt · alternative
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.