Anthropic 推出 OSS Scanner 为开源项目提供免费 AI 安全扫描
Anthropic launches free AI security scans for open-source projects
Anthropic 推出名为 OSS Scanner 的免费服务,选择加入的开源项目可定期获得由其最强模型生成的漏洞扫描报告。这些报告完全由模型生成,不含人工审查或分诊,因此扫描更快更频繁,但报告可能不正确或无效。该服务由包括 Claude Mythos 在内的最强模型驱动。
The new OSS Scanner service offers vulnerability reports from Anthropic’s “strongest models,” including Mythos.
The new OSS Scanner service offers vulnerability reports from Anthropic’s “strongest models,” including Mythos.
by Stevie Bonifield
Oct 8, 2026, 9:53 PM UTC


Image: The Verge
Stevie Bonifield
is a news writer covering all things consumer tech. Stevie started out at Laptop Mag writing news and reviews on hardware, gaming, and AI.
Anthropic’s offering to help open-source projects track down security vulnerabilities with a new service called OSS Scanner. It says open-source projects that opt-in will get “thorough, periodic security scans by our strongest models at no cost.” That could mean open-source projects get alerted about possible security issues sooner, but the trade-off is that OSS Scanner’s reports don’t come with human review:
The outputs of this opt-in vulnerability scanner will be fully model-generated, without human review or triage. This will enable faster and more frequent scanning, but means that it is possible reports will be incorrect or invalid. These reports will be generated by our strongest models (including Claude Mythos) to give open-source projects the largest defensive advantage.
OSS Scanner is far from the first AI bug hunting helper out there. AI tools have helped find some major security flaws in open-source software over recent months, like the “Copy Fail” bug that impacted nearly every Linux distro in May. At the same time, some open-source projects are struggling to keep up with the sudden onslaught of AI-generated bug reports, including Linus Torvalds and even Google.
Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.
- Stevie Bonifield
来源:The Verge · AI · theverge.com