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SIEM platforms · October 2026 Edition

Microsoft Sentinel vs Elastic Security

Eight of fourteen models named Microsoft Sentinel first on the direct prompt; zero named Elastic Security. Microsoft Sentinel was named by fourteen of the fourteen models and Elastic Security by thirteen and Microsoft Sentinel carries 62 labels and Elastic Security 38, so the shares are not directly comparable.

Microsoft Sentinel

endorsed leader

Named in ten categories this edition.

Elastic Security

accepted challenger

Named in eight categories this edition.

First-choice share38%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 15; printed, not drawn.
Labels6238A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft Sentinel reading right to left. Rank and label count are printed, not drawn.Rapid7 InsightIDR was named alongside these two in nine of the fourteen direct answers. Microsoft Sentinel vs Wazuh · Microsoft Sentinel vs Rapid7 InsightIDR · Microsoft Sentinel vs ManageEngine Log360

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Microsoft SentinelFirst choices, of fourteen modelsElastic Security
Direct80
Paraphrase50
Comparative40
Budget-constrained411 against Microsoft Sentinel
Scale-constrained311 against Microsoft Sentinel · 2 against Elastic Security
Negative206 against Microsoft Sentinel · 1 against Elastic Security
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Microsoft Sentinel and Elastic Security were named in the same answer 112 times, of the 389 answers naming Microsoft Sentinel and the 144 naming Elastic Security. In those answers Elastic Security took the first choice two times and Microsoft Sentinel forty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Microsoft Sentinel and Elastic Security stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Microsoft Sentinel Elastic Security first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Sentinel on the left and Elastic Security on the right.

The direct prompt

The plain question, one answer per model, grouped by where Microsoft Sentinel and Elastic Security stood in it.

Microsoft Sentinel first, Elastic Security an alternative

8 of 14 modelsElastic Security was named in the answer but not as the choice, or not at all.
GPT-5.4 miniMicrosoft Sentinel alternatives: Google Security Operations, Splunk Enterprise Security
Grok 4.1 FastMicrosoft Sentinel alternatives: LogRhythm NextGen, Rapid7 InsightIDR
Mistral SmallMicrosoft Sentinel alternatives: Exabeam, LogRhythm, Sumo Logic Cloud SIEM
DeepSeek V4 FlashMicrosoft Sentinel, Rapid7 InsightIDR alternatives: CrowdStrike Falcon Next-Gen SIEM, Elastic Security, Google Security Operations, Stellar Cyber Next-Gen SIEM
Kimi K2Microsoft Sentinel alternatives: LogRhythm, Sumo Logic Cloud SIEM
GLM 4.7 FlashXMicrosoft Sentinel alternatives: Elastic Security, FortiSIEM, ManageEngine Log360, Rapid7 InsightIDR, Splunk Enterprise Security, Sumo Logic Cloud SIEM
MiniMax M2.5Microsoft Sentinel alternatives: Exabeam, LogRhythm
GPT-6 LunaMicrosoft Sentinel alternatives: Google Security Operations, Rapid7 InsightIDR

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.
Claude Haiku 4.5Rapid7 InsightIDR alternatives: LogRhythm, ManageEngine Log360, Microsoft Sentinel
Gemini 3.5 FlashBlumira alternatives: Huntress Managed SIEM, Microsoft Sentinel, Rapid7 InsightIDR
Qwen 3.7 FlashLogRhythm alternatives: ManageEngine Log360, Microsoft Sentinel, Rapid7 InsightIDR, Sumo Logic Cloud SIEM
Muse Glimmer 30BRapid7 InsightIDR, Sumo Logic Cloud SIEM alternatives: Elastic Security, ManageEngine Log360, Securonix Unified Defense SIEM

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarRapid7 InsightIDR alternatives: LogRhythm, ManageEngine Log360, Stellar Cyber Next-Gen SIEM
Llama 4 Maverickno first choice

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Microsoft Sentinel leads by nineteen points.
Microsoft Sentinel22%#2 of 11
Elastic Security3%#7 of 11
The full small business standing →
Mid-marketThe figures above
Microsoft Sentinel leads by thirty-five points.
Microsoft Sentinel38%#1 of 15
Elastic Security4%#4 of 15
The full mid-market standing →
Enterprise
Microsoft Sentinel leads by forty-one points.
Microsoft Sentinel41%#1 of 12
Elastic Security0%#9 of 12
The full enterprise standing →

What the models said about Microsoft Sentinel

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

What the models said about Elastic Security

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.

“Cost-effective at scale; open-core flexibility | Requires more in-house expertise” Kimi K2 · scale prompt · soft negative
“Avoid these platforms if you have a small, overworked IT or security team.” Gemini 3.5 Flash · negative prompt · soft negative
“open-source based, flexible but requires more engineering” DeepSeek V4 Flash · scale prompt · soft negative
“Best low-budget choice if you want more predictable cost control and flexibility: Elastic Security” GPT-5.4 mini · budget prompt · first choice
“like Microsoft Sentinel or Elastic) is often a strong fit” MiniMax M2.5 · scale prompt · first choice
“Elastic Security, Wazuh, Graylog \u2013 Open-source or cost-effective options often used for first SIEM or as complements.” Muse Glimmer 30B · comparative prompt · alternative
Also compared

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.