使用 DLP API 检查敏感文本

了解如何使用敏感数据保护的 Cloud Data Loss Prevention API 和 JSON 扫描示例字符串,检查是否存在敏感信息。


如需在 Google Cloud 控制台中直接遵循有关此任务的分步指导,请点击操作演示

操作演示


准备工作

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. Install the Google Cloud CLI.
  3. To initialize the gcloud CLI, run the following command:

    gcloud init
  4. Create or select a Google Cloud project.

    • Create a Google Cloud project:

      gcloud projects create PROJECT_ID

      Replace PROJECT_ID with a name for the Google Cloud project you are creating.

    • Select the Google Cloud project that you created:

      gcloud config set project PROJECT_ID

      Replace PROJECT_ID with your Google Cloud project name.

  5. Make sure that billing is enabled for your Google Cloud project.

  6. Enable the DLP API:

    gcloud services enable dlp.googleapis.com
  7. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/dlp.user

    gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE
    • Replace PROJECT_ID with your project ID.
    • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:myemail@example.com.

    • Replace ROLE with each individual role.
  8. Install the Google Cloud CLI.
  9. To initialize the gcloud CLI, run the following command:

    gcloud init
  10. Create or select a Google Cloud project.

    • Create a Google Cloud project:

      gcloud projects create PROJECT_ID

      Replace PROJECT_ID with a name for the Google Cloud project you are creating.

    • Select the Google Cloud project that you created:

      gcloud config set project PROJECT_ID

      Replace PROJECT_ID with your Google Cloud project name.

  11. Make sure that billing is enabled for your Google Cloud project.

  12. Enable the DLP API:

    gcloud services enable dlp.googleapis.com
  13. Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/dlp.user

    gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE
    • Replace PROJECT_ID with your project ID.
    • Replace USER_IDENTIFIER with the identifier for your user account. For example, user:myemail@example.com.

    • Replace ROLE with each individual role.

检查字符串是否存在敏感信息

本部分介绍如何配置 DLP API 以使用 projects.content.inspect REST 方法扫描示例文本。

本部分要求您将示例请求保存在 JSON 文件中。如果您使用的是 Cloud Shell,则可以使用 Cloud Shell Editor 创建该文件。如需启动编辑器,请点击 Cloud Shell 窗口工具栏上的 打开编辑器

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_ID:您的 Google Cloud 项目 ID。 项目 ID 是字母数字字符串,例如 my-project

HTTP 方法和网址:

POST https://dlp.googleapis.com/v2/projects/PROJECT_ID/content:inspect

请求 JSON 正文:

{
  "item": {
    "value": "My phone number is (800) 555-0123."
  },
  "inspectConfig": {
    "infoTypes": [
      {
        "name": "PHONE_NUMBER"
      },
      {
        "name": "US_TOLLFREE_PHONE_NUMBER"
      }
    ],
    "minLikelihood": "POSSIBLE",
    "limits": {
      "maxFindingsPerItem": 0
    },
    "includeQuote": true
  }
}

如需发送您的请求,请展开以下选项之一:

您应该收到类似以下内容的 JSON 响应:

{
  "result": {
    "findings": [
      {
        "quote": "(800) 555-0123",
        "infoType": {
          "name": "US_TOLLFREE_PHONE_NUMBER"
        },
        "likelihood": "LIKELY",
        "location": {
          "byteRange": {
            "start": "19",
            "end": "33"
          },
          "codepointRange": {
            "start": "19",
            "end": "33"
          }
        },
        "createTime": "2022-09-23T01:53:05.303Z",
        "findingId": "2022-09-23T01:53:05.306348Z5328915744504121862"
      }
    ]
  }
}

清理

为避免因本页面中使用的资源导致您的 Google Cloud 账号产生费用,请删除包含这些资源的 Google Cloud 项目。

删除项目

如果您为本快速入门创建了新项目,则最简单的防止产生额外费用的方法是删除该项目。

    Delete a Google Cloud project:

    gcloud projects delete PROJECT_ID

撤消您的凭据

Optional: Revoke credentials from the gcloud CLI.

gcloud auth revoke

后续步骤

  • 如需开始检查文本和图片是否包含敏感数据,请参阅操作指南

  • 如需更好地了解检查、隐去、infoType 和可能性,请参阅概念

  • 详细了解 DLP API