IBM X-Force Red is a security testing service that examines AI models, applications, networks, hardware, and personnel to uncover and fix vulnerabilities · ibm.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
No model named it for this buyer.
Cobalt is first at 46%.
NetSPI is first at 30%.
“Large enterprise with complex infrastructure: NetSPI, Bishop Fox, NCC Group, or IBM X-Force Red.”Perplexity Sonar · Comparative question · alternative
No model argued against it.
The products named in the same answers as IBM X-Force Red, over the 12 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 12 | 6 | View → | |
| 12 | 2 | View → | |
| 12 | 1 | View → | |
| 11 | 0 | View → | |
| 11 | 0 | View → | |
| 8 | 1 | View → | |
| 8 | 0 | View → | |
| 7 | 1 | View → | |
| 7 | 0 | View → | |
| 7 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
Stated on IBM X-Force Red's own site, not checked by Gane.
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 →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 12 of the 12 answers that named IBM X-Force Red and are not a share of its labels.
Fifty-seven of the fifty-seven domain citations in answers naming IBM X-Force Red came from a third party's page.
Pages are listed as the models cited them.
| 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 | 1 | 0 | 0 | 1 |
| 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 | 0 | 0 | 0 | 0 |
| 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 |