Synack vs Astra Security
Zero of fourteen models named Synack first on the direct prompt; zero named Astra Security. Synack was named by fourteen of the fourteen models and Astra Security by eleven and Synack carries 29 labels and Astra Security 17, so the shares are not directly comparable.
Named in two categories this edition.
Named in four 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 penetration testing as a service page.
By framing
SynackFirst choices, of fourteen modelsAstra Security
Across every category in the October 2026 Edition, Synack and Astra Security were named in the same answer twenty-five times, of the 105 answers naming Synack and the 90 naming Astra Security. In those answers Astra Security took the first choice four times and Synack five.
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 4.1 Fast | | | ||||
| 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 | | |
Synack Astra Security first choice named as an alternative argued againstblank: not namedEach cell is one answer, Synack on the left and Astra Security on the right.The direct prompt
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
Astra Security11%#4 of 8Synack0%#– of 8Synack4%#3 of 10Astra Security4%#4 of 10Synack23%#2 of 11Astra Security0%#11 of 11What the models said about Synack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Choose Synack if you want a crowdsourced model and are willing to validate scope and pricing more carefully” Perplexity Sonar · paraphrase prompt · soft negative
“often more suited to larger enterprises or those with more complex needs” Mistral Small · paraphrase prompt · soft negative
“More enterprise-focused, higher cost/complexity.” Grok 4.1 Fast · paraphrase prompt · soft negative
“The best penetration testing service for a company with a limited budget is Synack, which offers penetration testing as a service starting at $119/month.” Llama 4 Maverick · budget prompt · first choice
“Offers continuous AI-driven penetration testing starting at $119/month, making it one of the most affordable options” Mistral Small · budget prompt · first choice
“Synack tops the list because it combines an elite human red team with agentic AI inside a single platform” Claude Haiku 4.5 · comparative prompt · first choice
What the models said about Astra 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.
“like vPenTest or Astra Pentest. These are generally cheaper than fully manual consulting and are designed for SMBs.” GPT-5.4 mini · budget prompt · first choice
“Astra Security – Best overall, offering web and mobile applications, cloud infrastructure, API, and network testing.” Mistral Small · comparative prompt · first choice
“1. Astra Security - Price: Starting at ~$1,999/year ... expert remediation included, strong compliance support” Kimi K2 · comparative 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.