# Wazuh vs ManageEngine Log360: which do AI models recommend for SIEM, October 2026

IT AI Recommendation Index, October 2026 Edition, SIEM platforms. Zero of fourteen models named Wazuh first on the direct prompt; zero named ManageEngine Log360. Page: https://it-ai-index.com/security/siem-platforms/wazuh-vs-manageengine-log360/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Wazuh | 21% | #2 of 15 | 24% | 21 | 13 of 14 |
| ManageEngine Log360 | 4% | #5 of 15 | 0% | 16 | 10 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: neither first, one named (first choices: Rapid7 InsightIDR) (alternatives: LogRhythm, ManageEngine Log360, Microsoft Sentinel)
- Perplexity Sonar: neither first, one named (first choices: Rapid7 InsightIDR) (alternatives: LogRhythm, ManageEngine Log360, Stellar Cyber Next-Gen SIEM)
- Qwen 3.7 Flash: neither first, one named (first choices: LogRhythm) (alternatives: ManageEngine Log360, Microsoft Sentinel, Rapid7 InsightIDR, Sumo Logic Cloud SIEM)
- GLM 4.7 FlashX: neither first, one named (first choices: Microsoft Sentinel) (alternatives: Elastic Security, FortiSIEM, ManageEngine Log360, Rapid7 InsightIDR, Splunk Enterprise Security, Sumo Logic Cloud SIEM)
- Muse Glimmer 30B: neither first, one named (first choices: Rapid7 InsightIDR, Sumo Logic Cloud SIEM) (alternatives: Elastic Security, ManageEngine Log360, Securonix Unified Defense SIEM)
- GPT-5.4 mini: neither named (first choices: Microsoft Sentinel) (alternatives: Google Security Operations, Splunk Enterprise Security)
- Gemini 3.5 Flash: neither named (first choices: Blumira) (alternatives: Huntress Managed SIEM, Microsoft Sentinel, Rapid7 InsightIDR)
- Grok 4.1 Fast: neither named (first choices: Microsoft Sentinel) (alternatives: LogRhythm NextGen, Rapid7 InsightIDR)
- Mistral Small: neither named (first choices: Microsoft Sentinel) (alternatives: Exabeam, LogRhythm, Sumo Logic Cloud SIEM)
- DeepSeek V4 Flash: neither named (first choices: Microsoft Sentinel, Rapid7 InsightIDR) (alternatives: CrowdStrike Falcon Next-Gen SIEM, Elastic Security, Google Security Operations, Stellar Cyber Next-Gen SIEM)
- Llama 4 Maverick: neither named
- Kimi K2: neither named (first choices: Microsoft Sentinel) (alternatives: LogRhythm, Sumo Logic Cloud SIEM)
- MiniMax M2.5: neither named (first choices: Microsoft Sentinel) (alternatives: Exabeam, LogRhythm)
- GPT-6 Luna: neither named (first choices: Microsoft Sentinel) (alternatives: Google Security Operations, Rapid7 InsightIDR)

## What the models said about Wazuh

- "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)

## What the models said about ManageEngine Log360

- "The best SIEM platform for a company with a limited budget is ManageEngine Log360, as it is budget-friendly" (Llama 4 Maverick, budget prompt, first choice)
- "I would recommend ManageEngine Log360 as the default SIEM choice" (Perplexity Sonar, paraphrase prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.