Data Masking for MongoDBMongoDB的数据屏蔽
Discover the MongoDB data masking tool in Studio 3T Ultimate. 在Studio 3T Ultimate中探索MongoDB数据屏蔽工具。Enable data compliance and bolster security with powerful field-level data obfuscation.通过强大的现场级数据混淆，实现数据法规遵从性并增强安全性。
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Copy and share data – the compliant way复制和共享数据—遵从法规的方式
Mask sensitive data throughout your pipeline在整个管道中屏蔽敏感数据
Choose a masking method per field为每个字段选择一种掩蔽方法
Anonymize each field as needed: show initials only, substitute entire fields or those matching regex, null values – you name it.根据需要对每个字段进行匿名：只显示首字母，替换整个字段或与正则表达式匹配的字段，空值——你可以命名它们。
Preview the masked data预览隐藏的数据
The JSON preview tab dynamically updates as you make changes to your collection.JSON预览选项卡会在您更改集合时动态更新。
Decide what happens to the original data决定原始数据会发生什么
You can choose to leave the original collection as-is and export the masked copy to a new target collection – or overwrite the source collection directly.您可以选择保持原始集合不变，并将屏蔽副本导出到新的目标集合，或者直接覆盖源集合。
Irreversible data masking不可逆数据屏蔽
Once exported to the new target collection – or the source is overwritten, should you choose – the masked copy can never be unmasked.一旦导出到新的目标集合，或者源被覆盖（如果您选择的话），屏蔽副本就永远不能被解除屏蔽。
Save data masking jobs as tasks将数据屏蔽作业另存为任务
Each data masking job can be saved as a task that you can automate or schedule locally on your machine or remotely on your server.每个数据屏蔽作业都可以另存为一个任务，您可以在本地计算机上或远程服务器上自动执行或安排该任务。
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Customizable, field-level static data masking可定制的现场级静态数据屏蔽
Obfuscate each field value type with the right masking method用正确的屏蔽方法混淆每个字段值类型
All types所有类型: Not masked, Null out, Exclude field, Shuffle：未屏蔽、空出、排除字段、打断次序
String: 字符串：Show only first or last characters, Mask entire string, Mask substrings matching regex, Scramble characters, Replace entire field with a fixed string只显示第一个或最后一个字符，屏蔽整个字符串，屏蔽匹配正则表达式的子字符串，置乱字符，用固定字符串替换整个字段
Numeric: 数字：Substitute value with fixed number, Add percentage to number, Subtract percentage from number用固定数字替换值，将百分比加到数字上，从数字中减去百分比
Array: 数组：Empty contents of the array数组的空内容
Date: 日期：Substitute with random date and time, Substitute with fixed date and time替换为随机日期和时间，替换为固定日期和时间
Boolean: 布尔值：Negate boolean value, Substitute with fixed boolean value求反布尔值，用固定布尔值替换
Why use Data Masking?为什么要使用数据屏蔽？
With a powerful MongoDB data masking tool, you can handle data with peace of mind使用强大的MongoDB数据屏蔽工具，您可以安心地处理数据
Protect production data保护生产数据
Copy production data to non-production environments in a secure way以安全的方式将生产数据复制到非生产环境
Keep environments fresh保持环境新鲜
Refresh development and testing environments more frequently, with more realistic data使用更真实的数据更频繁地刷新开发和测试环境
Share the right data共享正确的数据
Mask sensitive data before sharing with other teams, clients, or vendors在与其他团队、客户或供应商共享之前屏蔽敏感数据
Obfuscate on demand按需混淆
Stay on top of data compliance and protect sensitive data throughout your business始终掌握数据法规遵从性，并在整个业务中保护敏感数据
Data Compliance 101数据遵从性101
Learn more about data compliance requirements that might apply to you进一步了解可能适用于您的数据法规遵从性要求
