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METR Blog更新于 10月13日 20:13

METR 对 Anthropic 内部智能体监控系统进行红队测试

Red-Teaming Anthropic's Internal Agent Monitoring Systems - METR

AI 导读

METR 员工 David Rein 与 Anthropic 合作,用三周时间对 Anthropic 内部智能体监控与安全系统的一个子集进行红队测试,相关系统在 Opus 4.6 Sabotage Risk Report(附录 8.4)中有描述。测试发现若干新型漏洞,部分已被修补,均未严重动摇该报告的主要结论,并产出包含隐蔽攻击的智能体轨迹和一个小型攻击策略构思测试集。26 页报告已提交 Anthropic,METR 正探索将更多结论纳入未来风险报告。

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@misc { metr-2026-red-teaming-anthropic-agent-monitoring , title = {Red-Teaming Anthropic's Internal Agent Monitoring Systems} , author = {David Rein} , howpublished = {\url{https://metr.org/blog/2026-03-25-red-teaming-anthropic-agent-monitoring/}} , year = {2026} , month = {03} , }

Update : Further details on this exercise are included in our Frontier Risk Report (February-March 2026), within the Anthropic section of Appendix B .

In collaboration with Anthropic, a METR staff member (David Rein) recently spent three weeks red-teaming a subset of Anthropic’s internal agent monitoring and security systems, many of which are described in the Opus 4.6 Sabotage Risk Report (Appendix 8.4, especially 8.4.8). Anthropic provided substantial access to relevant internal systems and information, and made staff available to answer questions and provide feedback throughout the exercise.

The exercise discovered several specific novel vulnerabilities, some of which have since been patched, and none of which severely undermine major claims in the Opus 4.6 Sabotage Risk Report. It also produced several artifacts, including agent trajectories containing covert attacks and a small attack strategy ideation test set. We expect both of these to be useful for ongoing improvements to Anthropic’s monitoring systems. The resulting 26 page report was shared with Anthropic, and a redacted version was shared with a subset of METR staff. We are exploring ways to incorporate more detailed takeaways from the exercise in future METR risk reports.

This kind of adversarial testing by external researchers is valuable for discovering vulnerabilities, as well as for developing best practices for embedding third party evaluators inside frontier AI companies. We hope to do more exercises like these in the future—if you are a frontier AI developer interested in working with us, get in touch at partnerships@metr.org .

@misc { metr-2026-red-teaming-anthropic-agent-monitoring , title = {Red-Teaming Anthropic's Internal Agent Monitoring Systems} , author = {David Rein} , howpublished = {\url{https://metr.org/blog/2026-03-25-red-teaming-anthropic-agent-monitoring/}} , year = {2026} , month = {03} , }

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