Eight of fourteen models named Microsoft Sentinel first on the direct prompt; zero named Wazuh. Microsoft Sentinel was named by fourteen of the fourteen models and Wazuh by thirteen and Microsoft Sentinel carries 62 labels and Wazuh 21, so the shares are not directly comparable.
Named in ten categories this edition.
Named in fifteen 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 SIEM platforms page.
Across every category in the October 2026 Edition, Microsoft Sentinel and Wazuh were named in the same answer sixty-seven times, of the 389 answers naming Microsoft Sentinel and the 135 naming Wazuh. In those answers Wazuh took the first choice ten times and Microsoft Sentinel twenty.
| 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 |
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.
“Why to be cautious: Vendor Ecosystem Dependence... difficult, confusing, and often suboptimal if your infrastructure is primarily AWS, Google Cloud, or Linux-based” Qwen 3.7 Flash · negative prompt · soft negative
“Sentinel is incredibly powerful. However, do not buy it to manage alone unless you have dedicated KQL (Kusto Query Language) expertise.” Gemini 3.5 Flash · scale prompt · soft negative
“Microsoft Sentinel's billing, for example, depends on ingestion tiers, retention, and separate infrastructure charges in some cases” GPT-5.4 mini · negative prompt · soft negative
“I'd suggest starting with either Microsoft Sentinel (if already in the Microsoft ecosystem) or Sumo Logic (if you want vendor neutrality)” Claude Haiku 4.5 · paraphrase prompt · first choice
“Is primarily a Microsoft/Azure shop | Microsoft Sentinel | Seamless out-of-the-box ingestion, KQL query language, and fast deployment.” Gemini 3.5 Flash · comparative prompt · first choice
“Microsoft Sentinel — unbeatable value if you're a Microsoft shop; pay-as-you-go pricing; strong detection content; built-in UEBA and SOAR.” DeepSeek V4 Flash · scale prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Open-source self-build solutions (such as Wazuh or Graylog with custom rules) are generally not recommended unless you have at least two dedicated SIEM engineers” Mistral Small · negative prompt · soft negative
“others advise skipping them depending on your needs, particularly for enterprise environments where robust support is critical” MiniMax M2.5 · negative prompt · soft negative
“Platforms like Elastic, Wazuh, and Security Onion are incredibly capable but demand significant engineering hours.” Gemini 3.5 Flash · negative prompt · soft negative
“If you have in-house engineering capacity and <50 GB/day ingest, Wazuh / Security Onion self-hosted is the lowest cash outlay.” Muse Glimmer 30B · budget prompt · first choice
“Wazuh is the most complete open-source SIEM available, combining SIEM and XDR capabilities with lightweight agents” Claude Haiku 4.5 · 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.