NUWA 风险评测 · 研究
Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios
NUWA 研究解读 · 独立复核待完成
NUWA Research Note
研究问题研究设计与假设来源发现NUWA 解读局限与相反证据研究与决策意义机构与角色原始资源模型辅助整理 · 选读原始全文或官方文章中的相关章节；尚未完成逐章节审计。
研究速读
NUWA 解读：预算与模型代际均影响累积任务进展。
研究问题
模型代际与推理预算如何影响连续靶场任务进展？
研究设计与假设
七个模型在32步、7步两个定制靶场测试；近期模型的100M令牌端到端条件各运行五次。
来源发现
10M令牌下，企业靶场平均进展从GPT-4o的1.7步升至Opus 4.6的9.8步。
最佳单次完成22/32步，并非平均完成率。
NUWA 解读
NUWA 解读：预算与模型代际均影响累积任务进展。
局限与相反证据
仅两个定制靶场，高预算样本较小；披露还可能削弱未来保留集有效性（§5）。
研究与决策意义
模型建议：匹配令牌预算，并在最佳进展旁报告运行差异。
精确来源位置
- Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios · AbstractSelected original resource https://arxiv.org/html/2603.11214; sha256:fe735767bb4d07e484ce73b74b4095cb5dda946262a39b0fd70c3ed2f05015cf; archived source capture; exact capture time not independently established
- Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios · §3.3 Experimental designSelected original resource https://arxiv.org/html/2603.11214; sha256:fe735767bb4d07e484ce73b74b4095cb5dda946262a39b0fd70c3ed2f05015cf; archived source capture; exact capture time not independently established
- Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios · §2 ResultsSelected original resource https://arxiv.org/html/2603.11214; sha256:fe735767bb4d07e484ce73b74b4095cb5dda946262a39b0fd70c3ed2f05015cf; archived source capture; exact capture time not independently established
- Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios · §5 LimitationsSelected original resource https://arxiv.org/html/2603.11214; sha256:fe735767bb4d07e484ce73b74b4095cb5dda946262a39b0fd70c3ed2f05015cf; archived source capture; exact capture time not independently established
来源核查、数据提取、编辑批准与实验复现分别记录。 方法说明 →
机构与角色
作者 (14)
Linus Folkerts · Will Payne · Simon Inman · Philippos Giavridis · Joe Skinner · Sam Deverett · James Aung · Ekin Zorer · Michael Schmatz · Mahmoud Ghanem · John Wilkinson · Alan Steer · Vy Hong · Jessica Wang
评测协议
Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios →
引用与复用
引用研究发现时请引用原始出版物；引用 NUWA 的整理与解释时，单独引用本站记录及对应快照。
原始出版物 · BibTeX
@misc{aisi-cyber-scenarios,
title = {Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios},
url = {https://www.aisi.gov.uk/research/measuring-ai-agents-progress-on-multi-step-cyber-attack-scenarios},
author = {Linus Folkerts and Will Payne and Simon Inman and Philippos Giavridis and Joe Skinner and Sam Deverett and James Aung and Ekin Zorer and Michael Schmatz and Mahmoud Ghanem and John Wilkinson and Alan Steer and Vy Hong and Jessica Wang},
year = {2026},
date = {2026-03-16},
version = {Research page checked 2026-10-25},
note = {Research page checked 2026-10-25}
}
NUWA 记录 · BibTeX
@misc{aisi-cyber-scenarios-nuwa,
title = {Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios — NUWA research record},
url = {https://whitzard.tech/nuwa/whitzard-index/work/aisi-cyber-scenarios/},
version = {2026-10-29.1},
organization = {NUWA Frontier AI Safety Lab},
howpublished = {Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--aisi-cyber-scenarios.json},
note = {NUWA research note. Source-reading scope and independent review status are stated on the record. Snapshot 2026-10-29.1. Retained note edition: https://whitzard.tech/nuwa/whitzard-index/data/record-editions/2026-10-29.1--aisi-cyber-scenarios.json.}
}
证据快照 2026-10-29.1 · 索引更新 · RSS
参考文献
- [1] Linus Folkerts, Will Payne 等. Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios. Research page checked 2026-10-25 ; Official publication masthead and article byline; Retained existing source-specific note sections; this pass audits duplicate/boilerplate structure and source availability, not complete section-level verification.
- [2] Linus Folkerts, Will Payne 等. Measuring AI Agents’ Progress on Multi-Step Cyber Attack Scenarios ; Abstract; §3.3 Experimental design; §2 Results