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GitHub 推出上下文感知密钥检测模型，误报更少、扫描更快
GitHub’s model for secret detection: Finding more secrets with less noise
精选理由
GitHub 用一个上下文感知模型改进了密钥泄露检测，误报更少，扫描速度还快了 86%，做安全或 DevOps 的可以看看思路。
GitHub 发布了用于密钥泄露检测的上下文感知分类模型。该模型将加权接受率提升了 11.5%，意味着开发者确认处理的真实告警更多。中位数扫描执行时间下降 86%，检测质量与效率同步改善。
原文 · GitHub Blog
GitHub’s model for secret detection: Finding more secrets with less noise
GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%. The post GitHub’s model for secret detection: Finding more secrets with less noise appeared first on The GitHub Blog .
