Extended detection and response · Named, not rankedExabeam Fusion
Exabeam Fusion is a cloud-based SIEM from Exabeam that expands into a security operations suite for extended detection and response (XDR) · exabeam.com ↗
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Exabeam Fusion has 1.
Why models recommend it
“An open/XDR aggregator (e.g., Vectra, Exabeam, or Elastic)”Kimi K2 · Scale-constrained question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as Exabeam Fusion, over the 2 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 1 | 1 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Exabeam Fusion's own site, not checked by Gane.
- For
- security analysts and security operations teams
- Integrations
- 1000
- Certifications
- ISO 27001, SOC 2 Type II
- Customers named
- Port of Antwerp-Bruges, MTI Ltd.
- Also from Exabeam
- Exabeam & LogRhythm, Exabeam Incident Responder
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 2 of the 2 answers that named Exabeam Fusion and are not a share of its labels.
Domains cited
Ten of the ten domain citations in answers naming Exabeam Fusion came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |