One of fourteen models named Microsoft Defender External Attack Surface Management first on the direct prompt; zero named CrowdStrike Falcon Surface. Microsoft Defender External Attack Surface Management was named by fourteen of the fourteen models and CrowdStrike Falcon Surface by eight and Microsoft Defender External Attack Surface Management carries 39 labels and CrowdStrike Falcon Surface 14, so the shares are not directly comparable.
Named in one category this edition.
Named in one category 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 attack surface management page.
Across every category in the October 2026 Edition, Microsoft Defender External Attack Surface Management and CrowdStrike Falcon Surface were named in the same answer thirty-six times, of the 116 answers naming Microsoft Defender External Attack Surface Management and the 42 naming CrowdStrike Falcon Surface. In those answers CrowdStrike Falcon Surface took the first choice one time and Microsoft Defender External Attack Surface Management three.
| 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 |
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 eight in this category shown.
“Microsoft’s native ASM is described as tightly integrated with Defender and Azure, so it may be less suitable if you need broad multi-cloud, SaaS, or heterogeneous coverage” Perplexity Sonar · negative prompt · soft negative
“integrates deeply with Microsoft/Sentinel/Defender; limited third-party integration for non-Microsoft environments.” DeepSeek V4 Flash · negative prompt · soft negative
“while Microsoft Defender EASM is excellent at passive discovery, its active vulnerability scanning can be lacking” Gemini 3.5 Flash · negative prompt · soft negative
“the best attack surface management (ASM) platform is Microsoft Defender External Attack Surface Management (EASM) if you already use Microsoft 365/E5” GLM 4.7 FlashX · budget prompt · first choice
“I'd generally recommend Microsoft Defender External Attack Surface Management as the first tool to evaluate” GPT-5.4 mini · paraphrase prompt · first choice
“I'd start with Microsoft Defender EASM—especially if you already use Azure or Microsoft security tools.” GPT-6 Luna · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“note that these can be highly enterprise-focused and expensive if bought as standalone products” Gemini 3.5 Flash · scale prompt · soft negative
“forcing your ASM into the Palo Alto or CrowdStrike console may create blind spots” Qwen 3.7 Flash · negative prompt · soft negative
“CyCognito, CrowdStrike Falcon Surface, and Microsoft Defender EASM are strong starting points” DeepSeek V4 Flash · scale prompt · first choice
“Best For: Maturity-driven programs that want to know not just what is exposed, but what is currently being attacked.” Qwen 3.7 Flash · comparative prompt · alternative
“If you already use Falcon for endpoint security (EDR), Falcon Surface provides a great outside-in view” Gemini 3.5 Flash · paraphrase 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.