# RiskLens: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 26 judge labels across 1 category by 12 of 14 models. Page: https://www.gane.ai/index/it/vendors/risklens

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Cyber risk quantification](https://www.gane.ai/index/it/security/cyber-risk-quantification/index.md) | 2% | 20 | 42% | 26 |

## What the models said for it

- "RiskLens (The Industry Standard) ... the most widely adopted commercial tool for FAIR-based analysis" (Qwen 3.7 Flash, Cyber risk quant)
- "RiskLens Pro managed service — best if you want faster results with minimal internal effort." (GPT-5.4 mini, Cyber risk quant)
- "Choose RiskLens if you want the gold-standard, FAIR-compliant quantitative framework." (Kimi K2, Cyber risk quant)
- "Strong for FAIR rigor + automation; good for scenario-based analysis." (Grok 4.20, Cyber risk quant)

## And against it

- "Avoid overly complex/expensive tools (e.g., full Balbix or pure RiskLens post-acquisition)" (Grok 4.20, Cyber risk quant)
- "Avoid starting with enterprise products such as MetricStream, Archer, or RiskLens" (Perplexity Sonar, Cyber risk quant)
- "Enterprise SaaS tools like the broader RiskLens platform or other commercial CRQ tools can work well, but they're typically more than a small-budget company needs at the start." (GPT-5.4 mini, Cyber risk quant)
- "Expensive, fully licensed FAIR platforms (like early versions of RiskLens or SAFE Security) for organizations that don’t have dedicated risk analysts." (Qwen 3.7 Flash, Cyber risk quant)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 1 | 2 | 0 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 0 | 2 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 1 | 2 | 0 | 1 | 4 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 1 | 3 |
| Kimi K2 | 1 | 0 | 0 | 3 | 4 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named RiskLens, from 78 of the 87 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 45
- gane.ai/index: 44
- github.com: 33
- securityboulevard.com: 32
- safe.security: 24
- techtarget.com: 23
- kovrr.com: 21
- fairinstitute.org: 20
- corecyber.io: 18
- cyberdb.co: 17

### Pages cited

- https://g2.com/categories/cyber-risk-quantification-crq-tools: 43
- https://www.gane.ai/index/it/security/cyber-risk-quantification/smb: 24
- https://github.com/Jagan96404/Cyber-Risk-Quantification: 21
- https://techtarget.com/news/Cyber-risk-quantification-challenges-and-tools-that-can-help/836979: 21
- https://corecyber.io/: 18
- https://cyberdb.co/what-are-the-best-platforms-for-quantifying-cyber-risk: 17
- https://github.com/AwpDemon/cyber-risk-quant: 17
- https://www.gane.ai/index/it/security/cyber-risk-quantification/enterprise: 16

## 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.