包阅导读总结
1. 关键词：敏感数据保护、云存储、数据安全、数据监测、谷歌云
2. 总结：谷歌云宣布扩展敏感数据保护服务至云存储，此服务可支持常见数据存储服务，能持续监测识别敏感数据位置，还能告知数据配置情况，助于管理安全、隐私和合规风险。
3. 主要内容：
– 组织依赖数据驱动，但处理数据需确保安全，数据增长和蔓延带来挑战
– 谷歌云兴奋宣布敏感数据保护（SDP）发现服务支持云存储，此前已支持 BigQuery、BigLake 和 Cloud SQL
– 云存储是谷歌云用于存储非结构化数据的服务
– SDP 发现服务支持常见存储服务，能持续监测识别敏感数据位置
– 可检测个人身份信息、财务数据和凭证等
– 用于管理安全、隐私和合规风险
– SDP 发现能告知存储桶的文件集群种类及数据配置情况
– 如是否公开分享敏感数据、是否使用客户管理加密密钥
思维导图：
文章来源：cloud.google.com
作者：Manjae Park,Scott Ellis
发布时间：2024/7/2 0:00
语言：英文
总字数：474字
预计阅读时间：2分钟
评分：82分
标签：安全与身份,存储与数据传输
以下为原文内容
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Organizations rely on data-driven insights to power their business, but maximizing the potential of data comes with the responsibility to handle it securely. This can be a challenge when data growth can easily outpace the ability to manually inspect it, and data sprawl can lead to sensitive data appearing in unexpected places.
To help, we are excited to announce that our Sensitive Data Protection (SDP) discovery service now supports Cloud Storage, joining BigQuery, BigLake, and Cloud SQL. Cloud Storage is Google Cloud’s enterprise-ready, fully-managed service for storing unstructured data.
With this addition, SDP discovery now supports the most common services used by our customers to store data on Google Cloud. Sensitive Data Protection discovery provides continuous data monitoring to identify where sensitive data resides, in order to help manage security, privacy, and compliance risk. It can also detect data such as personally identifiable information (PII), financial data, and credentials, which you can use to help inform your security, privacy, and compliance posture.
Monitoring your data footprint
SDP discovery can tell you what kinds of file clusters each storage bucket contains, and if any sensitive data is shared publicly or is not configured to use customer managed encryption keys.
