# Echelon Risk + Cyber: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 2 judge labels across 2 categories by 2 of 14 models. Page: https://www.gane.ai/index/it/vendors/echelon-risk-cyber

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [AI security platforms](https://www.gane.ai/index/it/security/ai-security-platforms/index.md) | 0% | 91 | 0% | 1 |
| [Cyber risk quantification](https://www.gane.ai/index/it/security/cyber-risk-quantification/index.md) | 0% | 89 | 0% | 1 |

## What the models said for it

- "Need AI governance, shadow AI discovery and adversarial testing: Echelon Risk + Cyber, NeuralTrust." (Muse Glimmer 30B, AI security)

## 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 | 1 | 0 | 1 |
| 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 | 1 | 0 | 0 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Echelon Risk + Cyber, from 2 of the 2 answers that named it (only the models that return a source list).

### Domains cited

- acronis.com: 1
- axiobench.com: 1
- checkpoint.com: 1
- cyberdb.co: 1
- echeloncyber.com: 1 (its own site)
- github.com: 1
- itechguides.com: 1
- neuraltrust.ai: 1
- ourcodeworld.com: 1
- palomarr.com: 1

### Pages cited

- https://acronis.com/en/blog/posts/best-ai-security-tools-smb: 1
- https://axiobench.com/best/cyber-risk-quantification-software: 1
- https://checkpoint.com/cyber-hub/tools-vendors/best-ai-security-companies-in-2026: 1
- https://cyberdb.co/what-are-the-best-platforms-for-quantifying-cyber-risk: 1
- https://echeloncyber.com/2026-guide-top-ai-security-companies-in-us: 1
- https://github.com/volod-k/agentic-ai-soc-knowledge-base/blob/main/research/how-to-evaluate-vendors/best-agentic-soc-platforms.md: 1
- https://itechguides.com/best/cyber-risk-quantification-tools: 1
- https://neuraltrust.ai/blog/ai-security-software-platforms: 1

## What it publishes

Every page echeloncyber.com exposes, read 2026-09-29: 389 addresses. By kind, pages and the last 90 days:

- blog: 43 pages, 0 in the last 90 days, latest undated
- case study: 4 pages, 0 in the last 90 days, latest undated
- conference or event: 1 pages, 0 in the last 90 days, latest undated
- report or ebook: 1 pages, 0 in the last 90 days, latest undated
- comparison: 6 pages, 0 in the last 90 days, latest undated
- template or tool: 2 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 2 pages, 0 in the last 90 days, latest undated

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.
