Tamnoon 基于 Amazon Bedrock 构建 AI 云安全修复系统
原标题：How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock
AI 摘要
Tamnoon 基于 Amazon Bedrock 构建了名为 Tami 的智能体式云安全修复编排器，可从 CNAPP 等来源摄取安全发现并自动调查、评估修复安全性并生成修复方案。该平台采用四个专用智能体（调查、安全评分、修复、代码生成）在 AWS 无服务器架构上运行，通过单一 API 调用不同基础模型。据文中数据，该方法在 90 天内将关键云暴露减少超过 90%，且未引发生产问题。
正文节选
How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock Critical cloud exposures pile up faster than security teams can close them. Cloud-native application protection platforms (CNAPP), cloud providers, and posture scanners generate more findings than any team can triage, and risk accumulates in the gap between detected and fixed. Most findings sit untouched, not because they’re hard to fix. Someone must investigate context, identify the owner, confirm the fix won’t break pr