# Rapid7 InsightIDR vs ManageEngine Log360: which do AI models recommend for SIEM, October 2026

IT AI Recommendation Index, October 2026 Edition, SIEM platforms. Four of fourteen models named Rapid7 InsightIDR first on the direct prompt; zero named ManageEngine Log360. Page: https://it-ai-index.com/security/siem-platforms/rapid7-insightidr-vs-manageengine-log360/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Rapid7 InsightIDR | 17% | #3 of 15 | 6% | 34 | 14 of 14 |
| ManageEngine Log360 | 4% | #5 of 15 | 0% | 16 | 10 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: rapid7 insightidr first (first choices: Rapid7 InsightIDR) (alternatives: LogRhythm, ManageEngine Log360, Microsoft Sentinel)
- Perplexity Sonar: rapid7 insightidr first (first choices: Rapid7 InsightIDR) (alternatives: LogRhythm, ManageEngine Log360, Stellar Cyber Next-Gen SIEM)
- DeepSeek V4 Flash: rapid7 insightidr first (first choices: Microsoft Sentinel, Rapid7 InsightIDR) (alternatives: CrowdStrike Falcon Next-Gen SIEM, Elastic Security, Google Security Operations, Stellar Cyber Next-Gen SIEM)
- Muse Glimmer 30B: rapid7 insightidr first (first choices: Rapid7 InsightIDR, Sumo Logic Cloud SIEM) (alternatives: Elastic Security, ManageEngine Log360, Securonix Unified Defense SIEM)
- Gemini 3.5 Flash: neither first, one named (first choices: Blumira) (alternatives: Huntress Managed SIEM, Microsoft Sentinel, Rapid7 InsightIDR)
- Grok 4.1 Fast: neither first, one named (first choices: Microsoft Sentinel) (alternatives: LogRhythm NextGen, Rapid7 InsightIDR)
- 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)
- GPT-6 Luna: neither first, one named (first choices: Microsoft Sentinel) (alternatives: Google Security Operations, Rapid7 InsightIDR)
- GPT-5.4 mini: neither named (first choices: Microsoft Sentinel) (alternatives: Google Security Operations, Splunk Enterprise Security)
- Mistral Small: neither named (first choices: Microsoft Sentinel) (alternatives: Exabeam, LogRhythm, Sumo Logic Cloud 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)

## What the models said about Rapid7 InsightIDR

- "Avoid commercial SIEMs like Rapid7 InsightIDR ($2,500+/month)" (Kimi K2, budget prompt, hard negative)
- "eliminates cloud-only platforms such as ... Rapid7 Incident Command" (Perplexity Sonar, negative prompt, soft negative)
- "Rapid7 InsightIDR - Combines SIEM, UEBA, and SOAR capabilities in a single cloud-native platform with asset-based pricing that eliminates ingest anxiety" (Claude Haiku 4.5, direct prompt, first choice)
- ""Best for: Mid-sized organizations that want a cloud-native SIEM with integrated MDR capabilities, fast deployment and strong endpoint visibility"" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "The Best All-Rounder: Rapid7 InsightIDR ... widely considered the best fit for mid-sized organizations" (Qwen 3.7 Flash, paraphrase 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.