面向 Agent 沙箱的持续逃逸测试
一套测试工具与 CVE 监控服务,在 Agent 工具厂商发布前,持续探测沙箱库(mxc、bubblewrap、gVisor)的逃逸漏洞与错误配置。
每个点子都必须有愿意付费的买家、来自讨论的证据和真实的市场空白,并经受住“红队”的否决审查。
一套测试工具与 CVE 监控服务,在 Agent 工具厂商发布前,持续探测沙箱库(mxc、bubblewrap、gVisor)的逃逸漏洞与错误配置。
一个统一控制平面,将 Agent 的身份映射为最小权限范围,并对 Jira、GitHub、Slack 等 SaaS 的访问进行完整审计,填补操作系统层到应用层之间的权限缺口。
Quoted the discussion instead of paraphrasing.
Quoted the discussion instead of paraphrasing.
Quoted the discussion instead of paraphrasing.
Scored 5.5, under the 6.0 bar.
Too weak on moat (3/10).
Everyone is hand-rolling this on LangGraph/CrewAI/GitHub Actions and incumbents (LangGraph, Devin, GitHub) are shipping governance features — it's a framework feature, not a company.
Near-duplicate of the recently published per-developer AI spend control idea, and per-unit cost attribution is a feature Langfuse/Helicone/Portkey will ship on top of existing tracing.
Solo founders and small teams won't pay for a sandbox library — this is open-source territory (bubblewrap, seatbelt wrappers) where trust accrues to free OSS, not a $50-300/mo SDK.