# NIST SP 800-30: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 2 judge labels across 1 category by 2 of 14 models. Page: https://www.gane.ai/index/it/vendors/nist-sp-800-30

## 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% | 28 | 50% | 2 |

## What the models said for it

- "start with the free frameworks (OCTAVE or NIST SP 800-30) to build your internal capabilities" (Mistral Small, Cyber risk quant)

## And against it

- "Over-reliance on NIST SP 800-30, ISO 27005, or OCTAVE without quantitative extensions—these are frameworks, not tools, and frequently criticized for subjectivity" (Grok 4.20, Cyber risk quant)

## 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 | 1 | 1 |
| Mistral Small | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named NIST SP 800-30, from 4 of the 4 answers that named it (only the models that return a source list).

### Domains cited

- techtarget.com: 4
- bpb-eu-w2.wpmucdn.com: 3
- cyberpress.org: 2
- cyesec.com: 2
- fairinstitute.org: 2
- github.com: 2
- it.tenable.com: 2
- bestdefense.io: 1
- cisa.gov: 1
- comparitech.com: 1

### Pages cited

- https://techtarget.com/news/Cyber-risk-quantification-challenges-and-tools-that-can-help/836979: 4
- https://bpb-eu-w2.wpmucdn.com/blogs.bristol.ac.uk/dist/3/939/files/2024/08/RISCS-Cyber-Risk-Quantification-Research-Project-D1_AW.pdf: 3
- https://cyberpress.org/crq-tools-review: 2
- https://cyesec.com/blog/the-complete-guide-to-cyber-risk-quantification: 2
- https://fairinstitute.org/blog/watch-out-for-these-5-cyber-risk-quantification-methods.-they-dont-support-cost-effective-risk-management-1: 2
- https://github.com/AwpDemon/cyber-risk-quant: 2
- https://it.tenable.com/cybersecurity-guide/learn/cyber-risk-quantification: 2
- https://bestdefense.io/blog/risk-assessment-tools-a-2026-practitioners-shortlist: 1

## 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.