Orca Security vs AWS Security Hub
Two of fourteen models named Orca Security first on the direct prompt; zero named AWS Security Hub. Orca Security was named by fourteen of the fourteen models and AWS Security Hub by nine and Orca Security carries 50 labels and AWS Security Hub 18, so the shares are not directly comparable.
Named in eleven categories this edition.
Named in two 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 cloud security posture management page.
By framing
Orca SecurityFirst choices, of fourteen modelsAWS Security Hub
Across every category in the October 2026 Edition, Orca Security and AWS Security Hub were named in the same answer forty-four times, of the 427 answers naming Orca Security and the 82 naming AWS Security Hub. In those answers AWS Security Hub took the first choice seven times and Orca Security 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 | | | |
Orca Security AWS Security Hub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Orca Security on the left and AWS Security Hub on the right.The direct prompt
Orca Security first, AWS Security Hub an alternative
2 of 14 modelsAWS Security Hub was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
Orca Security5%#6 of 12AWS Security Hub5%#5 of 12Orca Security15%#3 of 12AWS Security Hub6%#5 of 12Orca Security7%#4 of 7AWS Security Hub4%#5 of 7What the models said about Orca Security
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“you will want to avoid enterprise-grade CSPM platforms like Wiz, Orca Security, or Prisma Cloud” Gemini 3.5 Flash · budget prompt · hard negative
“What to Avoid on a Tight Budget... unlikely to be "limited budget" friendly” Kimi K2 · budget prompt · hard negative
“The Premium Market Leaders (Wiz & Orca Security)... provide the best user experience. *Cons:* premium enterprise pricing” Gemini 3.5 Flash · scale prompt · first choice
What the models said about AWS Security Hub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Why avoid: If you are a true multi-cloud organization ... relying solely on the native tool for one provider will blindside you” Qwen 3.7 Flash · negative prompt · hard negative
“Multi-cloud complexity: Avoid native-only tools.” Kimi K2 · negative prompt · hard negative
“If you run a multi-cloud environment... using the native cloud provider tools is rarely a good idea” Gemini 3.5 Flash · negative prompt · soft negative
“AWS-heavy: Try AWS Security Hub CSPM. It has a 30-day trial and a perpetual free allowance” GPT-6 Luna · budget prompt · first choice
“Best overall for limited budget and AWS: AWS Security Hub CSPM” GPT-5.4 mini · budget 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.