Cloud Data Loss Prevention（Cloud DLP）は機密データの保護の一部になりました。API 名は Cloud Data Loss Prevention API（DLP API）のままです。機密データの保護を構成するサービスについては、機密データの保護の概要をご覧ください。

Google は AI 技術を使用して、コンテンツをご希望の言語に翻訳しています。AI 翻訳には誤りが含まれる場合があります。

標準のカスタム辞書検出器の作成

カスタム辞書は、語句のリストを照合するシンプルで強力な機能を提供します。カスタム辞書は、検出機能として使用することも、組み込み検出機能の例外リストとして使用することもできます。さらに、カスタム辞書を使用して組み込みの infoType 検出器を拡張することで、結果に対して追加の照合を実施できます。

このセクションでは、単語のリストから標準のカスタム辞書検出機能を作成する方法について説明します。

辞書のカスタム infoType 検出機能の詳細

API の概要で説明されているように、辞書のカスタム infoType 検出機能を作成するには、以下を含む CustomInfoType オブジェクトを定義します。

カスタム infoType 検出機能に付ける名前。InfoType オブジェクト内に指定します。
オプションの Likelihood 値。このフィールドを指定しない場合、辞書項目と一致したものについて、デフォルトの可能性の値 VERY_LIKELY が返されます。
オプションの DetectionRule オブジェクト、または起動ワードルール。こうしたルールを適用すると、指定したホットワードの所定の近接範囲内にある結果の可能性を調整できます。ホットワードルールの詳細については、一致の可能性のカスタマイズをご覧ください。
オプションの SensitivityScore 値。このフィールドを省略すると、辞書項目と一致したものについて、デフォルトの機密レベル HIGH が返されます。

機密性スコアはデータプロファイルで使用されます。データのプロファイリング時に、Sensitive Data Protection は、infoType の機密性スコアを使用して機密性レベルを計算します。
スキャンする単語のリストを含む WordList、またはスキャンする改行区切りのリストを含む単一のテキストファイルへの CloudStoragePath としての Dictionary。

辞書のカスタム infoType 検出機能は JSON オブジェクトとしてすべての任意指定コンポーネントを含み、次のようになりますこの JSON には、Cloud Storage に保存されている辞書テキストファイルへのパスが含まれています。インラインの単語リストを表示するには、このトピックの後半の例をご覧ください。

{
  "customInfoTypes":[
    {
      "infoType":{
        "name":"CUSTOM_INFOTYPE_NAME"
      },
      "likelihood":"LIKELIHOOD_LEVEL",
      "detectionRules":[
        {
          "hotwordRule":{
            HOTWORD_RULE
          }
        },
        ...
      ],
      "sensitivityScore":{
          "score": "SENSITIVITY_SCORE"
        },
      "dictionary":
      {
        "cloudStoragePath":
        {
          "path": "gs://PATH_TO_TXT_FILE"
        }
      }
    }
  ],
  ...
}

辞書での照合について

以下は、Sensitive Data Protection で辞書の単語とフレーズを照合する仕組みに関するガイダンスです。ここに示す内容は、標準カスタム辞書と大規模なカスタム辞書の両方に適用されます。

辞書の単語では大文字と小文字が区別されません。辞書に Abby が含まれている場合、abby、ABBY、Abby などと一致します。
辞書またはスキャン対象のコンテンツ内のすべての文字（Unicode の基本多言語面に含まれる文字、数字、その他のアルファベット文字を除く）は、一致をスキャンする際に空白文字と見なされます。辞書で Abby Abernathy をスキャンすると、abby abernathy、Abby, Abernathy、Abby (ABERNATHY) などと一致します。
一致する文字の前後の文字は、その単語内の隣接する文字とは異なるタイプ（文字または数字）でなければなりません。辞書で Abi をスキャンすると、Abi904 の最初の 3 文字と一致しますが、Abigail の最初の 3 文字とは一致しません。
Unicode 標準の補助多言語面の文字を含む辞書の単語は、予期しない結果になる可能性があります。そのような文字の例には、絵文字、科学記号、歴史的な文字があります。

文字、数字、その他のアルファベット文字は次のように定義されます。

文字: Unicode 仕様の一般カテゴリ Lu、Ll、Lt、Lm、Lo の文字
数字: Unicode 仕様の一般カテゴリ Nd の文字
その他の英字: Unicode 仕様の一般カテゴリ Nl の文字、または Unicode 標準で定義されている寄与プロパティ Other_Alphabetic の文字

例

単純な単語リスト

通院患者の治療に使用された病室の情報を含むデータがあるとします。こうした場所は特定のデータセットで機密扱いになる可能性がありますが、Sensitive Data Protection の組み込みの検出器では検出されません。

病室のリストは次のようなものでした。

"RM-ORANGE"
"RM-YELLOW"
"RM-GREEN"

C#

Sensitive Data Protection 用のクライアントライブラリをインストールして使用する方法については、Sensitive Data Protection のクライアントライブラリをご覧ください。

Sensitive Data Protection の認証を行うには、アプリケーションのデフォルト認証情報を設定します。詳細については、ローカル開発環境の認証の設定をご覧ください。


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithSimpleWordList
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        var contentItem = new ContentItem { Value = text };

        var wordList = new CustomInfoType.Types.Dictionary.Types.WordList
        {
            Words = { new string[] { "RM-GREEN", "RM-YELLOW", "RM-ORANGE" } }
        };

        var infoType = new InfoType
        {
            Name = "CUSTOM_ROOM_ID"
        };

        var customInfoType = new CustomInfoType
        {
            InfoType = infoType,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = wordList
            }
        };

        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes =
            {
                customInfoType,
            }
        };
        var primitiveTransformation = new PrimitiveTransformation
        {
            ReplaceWithInfoTypeConfig = new ReplaceWithInfoTypeConfig { }
        };

        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            InfoTypes = { infoType },
            PrimitiveTransformation = primitiveTransformation
        };

        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations = { transformation }
            }
        };

        var request = new DeidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            InspectConfig = inspectConfig,
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyWithWordList matches against a custom simple word list to de-identify sensitive
// data based on the input
func deidentifyWithWordList(w io.Writer, projectID, input string, infoTypeName string, wordList []string) error {
	// projectID := "my-project-id"
	// input := "Patient was seen in RM-YELLOW then transferred to rm green."
	// wordList := []string{"RM-GREEN", "RM-YELLOW", "RM-ORANGE"}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}
	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify what content you want the service to DeIdentify.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: input,
		},
	}

	// Specify the word list custom info type the inspection will look for.
	infoType := &dlppb.InfoType{
		Name: infoTypeName,
	}

	var customInfoType = &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_Dictionary_{
			Dictionary: &dlppb.CustomInfoType_Dictionary{
				Source: &dlppb.CustomInfoType_Dictionary_WordList_{
					// Construct the word list to be detected
					WordList: &dlppb.CustomInfoType_Dictionary_WordList{
						Words: wordList,
					},
				},
			},
		},
	}

	// Define type of de-identification as replacement.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceWithInfoTypeConfig{
			ReplaceWithInfoTypeConfig: &dlppb.ReplaceWithInfoTypeConfig{},
		},
	}

	infoTypeTransformation := &dlppb.InfoTypeTransformations_InfoTypeTransformation{
		InfoTypes:               []*dlppb.InfoType{infoType},
		PrimitiveTransformation: primitiveTransformation,
	}

	infoTypeTransformations := &dlppb.InfoTypeTransformations{
		// Associate de-identification type with info type.
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			infoTypeTransformation,
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent: fmt.Sprintf("projects/%s/locations/global", projectID),
		InspectConfig: &dlppb.InspectConfig{
			CustomInfoTypes: []*dlppb.CustomInfoType{
				customInfoType,
			},
		},
		// Construct the configuration for the de-identify request and list all desired transformations.
		DeidentifyConfig: &dlppb.DeidentifyConfig{
			Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
				InfoTypeTransformations: infoTypeTransformations,
			},
		},
		// The item to analyze.
		Item: item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil
}

Java


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceWithInfoTypeConfig;
import java.io.IOException;

public class DeIdentifyWithSimpleWordList {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "Patient was seen in RM-YELLOW then transferred to rm green.";
    deidentifyWithSimpleWordList(projectId, textToDeIdentify);
  }

  public static void deidentifyWithSimpleWordList(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {

      // Specify what content you want the service to DeIdentify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Construct the word list to be detected
      Dictionary wordList =
          Dictionary.newBuilder()
              .setWordList(
                  WordList.newBuilder()
                      .addWords("RM-GREEN")
                      .addWords("RM-YELLOW")
                      .addWords("RM-ORANGE")
                      .build())
              .build();

      // Specify the word list custom info type the inspection will look for.
      InfoType infoType = InfoType.newBuilder().setName("CUSTOM_ROOM_ID").build();
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(infoType).setDictionary(wordList).build();
      InspectConfig inspectConfig =
          InspectConfig.newBuilder().addCustomInfoTypes(customInfoType).build();

      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceWithInfoTypeConfig(ReplaceWithInfoTypeConfig.getDefaultInstance())
              .build();

      // Associate deidentification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(infoType)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      // Construct the configuration for the Redact request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after replace with infotype config: " + response.getItem().getValue());
    }
  }
}

Node.js

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to de-identify
// const textToInspect = 'Patient was seen in RM-YELLOW then transferred to rm green.';

// Words to look for during inspection
// const words = ['RM-GREEN', 'RM-YELLOW', 'RM-ORANGE'];

// Name of the custom info type
// const customInfoTypeName = 'CUSTOM_ROOM_ID';

async function deIdentifyWithSimpleWordList() {
  // Initialize client that will be used to send requests. This client only needs to be created
  // once, and can be reused for multiple requests. After completing all of your requests, call
  // the "close" method on the client to safely clean up any remaining background resources.
  const dlp = new DLP.DlpServiceClient();

  // Construct the word list to be detected
  const wordList = {
    words: words,
  };

  // Specify the word list custom info type the inspection will look for.
  const infoType = {
    name: customInfoTypeName,
  };
  const customInfoType = {
    infoType,
    dictionary: {
      wordList,
    },
  };

  // Construct de-identify configuration
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [
        {
          primitiveTransformation: {
            replaceWithInfoTypeConfig: {},
          },
        },
      ],
    },
  };

  // Construct inspect configuration
  const inspectConfig = {
    customInfoTypes: [customInfoType],
  };

  // Construct Item
  const item = {
    value: textToInspect,
  };
  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    item,
    deidentifyConfig,
    inspectConfig,
  };

  // Send the request and receive response from the service
  const [response] = await dlp.deidentifyContent(request);
  // Print the results
  console.log(
    `Text after replace with infotype config: ${response.item.value}`
  );
}

deIdentifyWithSimpleWordList();

PHP

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceWithInfoTypeConfig;

/**
 * De-identify sensitive data with a simple word list
 * Matches against a custom simple word list to de-identify sensitive data.
 *
 * @param string $callingProjectId  The Google Cloud project id to use as a parent resource.
 * @param string $string            The string to deidentify (will be treated as text).
 */

function deidentify_simple_word_list(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $string = 'Patient was seen in RM-YELLOW then transferred to rm green.'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$callingProjectId/locations/global";

    $content = (new ContentItem())
        ->setValue($string);

    // Construct the word list to be detected
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['RM-GREEN', 'RM-YELLOW', 'RM-ORANGE']));

    // The infoTypes of information to mask
    $custoMRoomIdinfoType = (new InfoType())
        ->setName('CUSTOM_ROOM_ID');
    $customInfoType = (new CustomInfoType())
        ->setInfoType($custoMRoomIdinfoType)
        ->setDictionary($wordList);

    // Create the configuration object
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType]);

    // Create the information transform configuration objects
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceWithInfoTypeConfig(new ReplaceWithInfoTypeConfig());

    $infoTypeTransformation = (new InfoTypeTransformation())
        ->setPrimitiveTransformation($primitiveTransformation)
        ->setInfoTypes([$custoMRoomIdinfoType]);

    $infoTypeTransformations = (new InfoTypeTransformations())
        ->setTransformations([$infoTypeTransformation]);

    // Create the deidentification configuration object
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations($infoTypeTransformations);

    // Run request
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setItem($content)
        ->setInspectConfig($inspectConfig);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Deidentified content: %s', $response->getItem()->getValue());
}

Python

import google.cloud.dlp


def deidentify_with_simple_word_list(
    project: str,
    input_str: str,
    custom_info_type_name: str,
    word_list: list[str],
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      string by matching against custom word list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to deidentify (will be treated as text).
        custom_info_type_name: The name of the custom info type to use.
        word_list: The list of strings to match against.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Prepare custom_info_types by parsing word lists
    word_list = {"words": word_list}
    custom_info_types = [
        {
            "info_type": {"name": custom_info_type_name},
            "dictionary": {"word_list": word_list},
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "custom_info_types": custom_info_types,
    }

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {"primitive_transformation": {"replace_with_info_type_config": {}}}
            ]
        }
    }

    # Construct the `item`.
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    print(f"De-identified Content: {response.item.value}")

REST

次の JSON の例では、カスタムの病室番号を匿名化するためのカスタム辞書を定義しています。

JSON 入力:

POST https://dlp.googleapis.com/v2/projects/[PROJECT_ID]/content:deidentify?key={YOUR_API_KEY}

{
  "item":{
    "value":"Patient was seen in RM-YELLOW then transferred to rm green."
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "primitiveTransformation":{
            "replaceWithInfoTypeConfig":{

            }
          }
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"CUSTOM_ROOM_ID"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "RM-GREEN",
              "RM-YELLOW",
              "RM-ORANGE"
            ]
          }
        }
      }
    ]
  }
}

JSON 出力:

POST でこの JSON を content:deidentify に送信すると、次の JSON レスポンスが返されます。

{
  "item":{
    "value":"Patient was seen in [CUSTOM_ROOM_ID] then transferred to [CUSTOM_ROOM_ID]."
  },
  "overview":{
    "transformedBytes":"17",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"CUSTOM_ROOM_ID"
        },
        "transformation":{
          "replaceWithInfoTypeConfig":{

          }
        },
        "results":[
          {
            "count":"2",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"17"
      }
    ]
  }
}

Sensitive Data Protection によって、カスタム辞書の WordList メッセージで指定された病室番号が正しく識別されました。2 番目の例「rm green」のように、大文字とハイフン（-）が見つからない場合でも項目が一致することに注意してください。

例外リスト

メールアドレスなどの顧客識別子を含むログデータがあり、この情報を編集するとします。ただし、これらのログには内部開発者のメールアドレスも含まれており、これらを編集する必要はありません。

C#


using System;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;

public class DeidentifyWithExceptionList
{
    public static DeidentifyContentResponse Deidentify(string projectId, string text)
    {
        // Instantiate a client.
        var dlp = DlpServiceClient.Create();

        var contentItem = new ContentItem { Value = text };

        var wordList = new CustomInfoType.Types.Dictionary.Types.WordList
        {
            Words = { new string[] { "jack@example.org", "jill@example.org" } }
        };

        var exclusionRule = new ExclusionRule
        {
            MatchingType = MatchingType.FullMatch,
            Dictionary = new CustomInfoType.Types.Dictionary
            {
                WordList = wordList
            }
        };

        var infoType = new InfoType { Name = "EMAIL_ADDRESS" };

        var inspectionRuleSet = new InspectionRuleSet
        {
            InfoTypes = { infoType },
            Rules = { new InspectionRule { ExclusionRule = exclusionRule } }
        };

        var inspectConfig = new InspectConfig
        {
            InfoTypes = { infoType },
            RuleSet = { inspectionRuleSet }
        };
        var primitiveTransformation = new PrimitiveTransformation
        {
            ReplaceWithInfoTypeConfig = new ReplaceWithInfoTypeConfig { }
        };

        var transformation = new InfoTypeTransformations.Types.InfoTypeTransformation
        {
            InfoTypes = { infoType },
            PrimitiveTransformation = primitiveTransformation
        };

        var deidentifyConfig = new DeidentifyConfig
        {
            InfoTypeTransformations = new InfoTypeTransformations
            {
                Transformations = { transformation }
            }
        };

        var request = new DeidentifyContentRequest
        {
            Parent = new LocationName(projectId, "global").ToString(),
            InspectConfig = inspectConfig,
            DeidentifyConfig = deidentifyConfig,
            Item = contentItem
        };

        // Call the API.
        var response = dlp.DeidentifyContent(request);

        // Inspect the results.
        Console.WriteLine($"Deidentified content: {response.Item.Value}");
        return response;
    }
}

Go

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// deidentifyExceptionList creates an exception list for a regular custom dictionary detector.
func deidentifyExceptionList(w io.Writer, projectID, input string) error {
	// projectID := "my-project-id"
	// input := "jack@example.org accessed customer record of user5@example.com"

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("dlp.NewClient: %w", err)
	}

	// Closing the client safely cleans up background resousrces.
	defer client.Close()

	// Specify what content you want the service to DeIdentify.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: input,
		},
	}

	// Specify the word list custom info type and build-in info type the inspection will look for.
	infoTypes := []*dlppb.InfoType{
		{Name: "EMAIL_ADDRESS"},
	}

	dictionary := &dlppb.CustomInfoType_Dictionary{
		Source: &dlppb.CustomInfoType_Dictionary_WordList_{
			WordList: &dlppb.CustomInfoType_Dictionary_WordList{
				Words: []string{"jack@example.org", "jill@example.org"},
			},
		},
	}

	exclusionRule := &dlppb.ExclusionRule{
		MatchingType: dlppb.MatchingType_MATCHING_TYPE_FULL_MATCH,
		Type: &dlppb.ExclusionRule_Dictionary{
			Dictionary: dictionary,
		},
	}

	inspectRuleSet := &dlppb.InspectionRuleSet{
		InfoTypes: infoTypes,
		Rules: []*dlppb.InspectionRule{
			{
				Type: &dlppb.InspectionRule_ExclusionRule{
					ExclusionRule: exclusionRule,
				},
			},
		},
	}

	// Construct the configuration for the de-id request and list all desired transformations.
	primitiveTransformation := &dlppb.PrimitiveTransformation{
		Transformation: &dlppb.PrimitiveTransformation_ReplaceWithInfoTypeConfig{},
	}

	infoTypeTransformation := &dlppb.InfoTypeTransformations{
		Transformations: []*dlppb.InfoTypeTransformations_InfoTypeTransformation{
			{
				PrimitiveTransformation: primitiveTransformation,
			},
		},
	}

	deIdentifyConfig := &dlppb.DeidentifyConfig{
		Transformation: &dlppb.DeidentifyConfig_InfoTypeTransformations{
			InfoTypeTransformations: infoTypeTransformation,
		},
	}

	// Create a configured request.
	req := &dlppb.DeidentifyContentRequest{
		Parent:           fmt.Sprintf("projects/%s/locations/global", projectID),
		DeidentifyConfig: deIdentifyConfig,
		InspectConfig: &dlppb.InspectConfig{
			InfoTypes:       infoTypes,
			CustomInfoTypes: []*dlppb.CustomInfoType{},
			RuleSet:         []*dlppb.InspectionRuleSet{inspectRuleSet},
		},
		// The item to analyze.
		Item: item,
	}

	// Send the request.
	resp, err := client.DeidentifyContent(ctx, req)
	if err != nil {
		return err
	}

	// Print the result.
	fmt.Fprintf(w, "output : %v", resp.GetItem().GetValue())
	return nil

}

Java


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary;
import com.google.privacy.dlp.v2.CustomInfoType.Dictionary.WordList;
import com.google.privacy.dlp.v2.DeidentifyConfig;
import com.google.privacy.dlp.v2.DeidentifyContentRequest;
import com.google.privacy.dlp.v2.DeidentifyContentResponse;
import com.google.privacy.dlp.v2.ExclusionRule;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InfoTypeTransformations;
import com.google.privacy.dlp.v2.InfoTypeTransformations.InfoTypeTransformation;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectionRule;
import com.google.privacy.dlp.v2.InspectionRuleSet;
import com.google.privacy.dlp.v2.LocationName;
import com.google.privacy.dlp.v2.MatchingType;
import com.google.privacy.dlp.v2.PrimitiveTransformation;
import com.google.privacy.dlp.v2.ReplaceWithInfoTypeConfig;
import java.io.IOException;

public class DeIdentifyWithExceptionList {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String textToDeIdentify = "jack@example.org accessed customer record of user5@example.com";
    deIdentifyWithExceptionList(projectId, textToDeIdentify);
  }

  public static void deIdentifyWithExceptionList(String projectId, String textToDeIdentify)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {

      // Specify what content you want the service to DeIdentify.
      ContentItem contentItem = ContentItem.newBuilder().setValue(textToDeIdentify).build();

      // Construct the custom word list to be detected.
      Dictionary wordList =
          Dictionary.newBuilder()
              .setWordList(
                  WordList.newBuilder()
                      .addWords("jack@example.org")
                      .addWords("jill@example.org")
                      .build())
              .build();

      // Construct the custom dictionary detector associated with the word list.
      InfoType developerEmail = InfoType.newBuilder().setName("DEVELOPER_EMAIL").build();
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(developerEmail).setDictionary(wordList).build();

      ExclusionRule exclusionRule =
          ExclusionRule.newBuilder()
              .setDictionary(wordList)
              .setMatchingType(MatchingType.MATCHING_TYPE_FULL_MATCH)
              .build();

      InspectionRule inspectionRule =
          InspectionRule.newBuilder()
              .setExclusionRule(exclusionRule)
              .build();

      // Specify the word list custom info type and build-in info type the inspection will look for.
      InfoType emailAddress = InfoType.newBuilder().setName("EMAIL_ADDRESS").build();

      InspectionRuleSet inspectionRuleSet =
          InspectionRuleSet.newBuilder()
              .addInfoTypes(emailAddress)
              .addRules(inspectionRule)
              .build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addInfoTypes(emailAddress)
              .addCustomInfoTypes(customInfoType)
              .addRuleSet(inspectionRuleSet)
              .build();

      // Define type of deidentification as replacement.
      PrimitiveTransformation primitiveTransformation =
          PrimitiveTransformation.newBuilder()
              .setReplaceWithInfoTypeConfig(ReplaceWithInfoTypeConfig.getDefaultInstance())
              .build();

      // Associate de-identification type with info type.
      InfoTypeTransformation transformation =
          InfoTypeTransformation.newBuilder()
              .addInfoTypes(emailAddress)
              .setPrimitiveTransformation(primitiveTransformation)
              .build();

      // Construct the configuration for the de-id request and list all desired transformations.
      DeidentifyConfig deidentifyConfig =
          DeidentifyConfig.newBuilder()
              .setInfoTypeTransformations(
                  InfoTypeTransformations.newBuilder().addTransformations(transformation))
              .build();

      // Combine configurations into a request for the service.
      DeidentifyContentRequest request =
          DeidentifyContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(contentItem)
              .setInspectConfig(inspectConfig)
              .setDeidentifyConfig(deidentifyConfig)
              .build();

      // Send the request and receive response from the service
      DeidentifyContentResponse response = dlp.deidentifyContent(request);

      // Print the results
      System.out.println(
          "Text after replace with infotype config: " + response.getItem().getValue());
    }
  }
}

Node.js

// Imports the Google Cloud Data Loss Prevention library
const DLP = require('@google-cloud/dlp');

// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
const dlp = new DLP.DlpServiceClient();

// TODO(developer): Replace these variables before running the sample.
// const projectId = "your-project-id";

// The string to deidentify
// const textToInspect = 'jack@example.org accessed customer record of user5@example.com';

// Words to exclude for during inspection
// const words = ['jack@example.org', 'jill@example.org'];

// The infoTypes of information to match
// See https://cloud.google.com/dlp/docs/concepts-infotypes for more information
// about supported infoTypes.
// const infoTypes = [{ name: 'EMAIL_ADDRESS' }];

async function deIdentifyWithExceptionList() {
  // Construct item to inspect
  const item = {value: textToInspect};

  // Construct the custom dictionary detector associated with the word list.
  const wordListDict = {
    wordList: {
      words: words,
    },
  };

  // Construct a rule set that will only match if the match text does not
  // contains tokens from the exclusion list.
  const ruleSet = [
    {
      infoTypes: infoTypes,
      rules: [
        {
          exclusionRule: {
            matchingType:
              DLP.protos.google.privacy.dlp.v2.MatchingType
                .MATCHING_TYPE_FULL_MATCH,
            dictionary: wordListDict,
          },
        },
      ],
    },
  ];

  // Combine configurations to construct inspect config.
  const inspectConfig = {
    infoTypes: infoTypes,
    ruleSet: ruleSet,
  };

  // Define type of de-identification as replacement & associate de-identification type with info type.
  const transformation = {
    infoTypes: [],
    primitiveTransformation: {
      replaceWithInfoTypeConfig: {},
    },
  };

  // Construct the configuration for the de-identification request and list all desired transformations.
  const deidentifyConfig = {
    infoTypeTransformations: {
      transformations: [transformation],
    },
  };

  // Combine configurations into a request for the service.
  const request = {
    parent: `projects/${projectId}/locations/global`,
    item: item,
    inspectConfig: inspectConfig,
    deidentifyConfig: deidentifyConfig,
  };

  // Send the request and receive response from the service.
  const [response] = await dlp.deidentifyContent(request);

  // Print the results
  console.log(
    `Text after replace with infotype config: ${response.item.value}`
  );
}

deIdentifyWithExceptionList();

PHP

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\DeidentifyConfig;
use Google\Cloud\Dlp\V2\DeidentifyContentRequest;
use Google\Cloud\Dlp\V2\ExclusionRule;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InfoTypeTransformations;
use Google\Cloud\Dlp\V2\InfoTypeTransformations\InfoTypeTransformation;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectionRule;
use Google\Cloud\Dlp\V2\InspectionRuleSet;
use Google\Cloud\Dlp\V2\MatchingType;
use Google\Cloud\Dlp\V2\PrimitiveTransformation;
use Google\Cloud\Dlp\V2\ReplaceWithInfoTypeConfig;

/**
 * Create an exception list for de-identification
 * Create an exception list for a regular custom dictionary detector.
 *
 * @param string $callingProjectId  The project ID to run the API call under
 * @param string $textToDeIdentify  The String you want the service to DeIdentify
 */
function deidentify_exception_list(
    // TODO(developer): Replace sample parameters before running the code.
    string $callingProjectId,
    string $textToDeIdentify = 'jack@example.org accessed customer record of user5@example.com'
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    // Specify what content you want the service to DeIdentify.
    $contentItem = (new ContentItem())
        ->setValue($textToDeIdentify);

    // Construct the custom word list to be detected.
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords(['jack@example.org', 'jill@example.org']));

    // Specify the exclusion rule and build-in info type the inspection will look for.
    $exclusionRule = (new ExclusionRule())
        ->setMatchingType(MatchingType::MATCHING_TYPE_FULL_MATCH)
        ->setDictionary($wordList);

    $emailAddress = (new InfoType())
        ->setName('EMAIL_ADDRESS');
    $inspectionRuleSet = (new InspectionRuleSet())
        ->setInfoTypes([$emailAddress])
        ->setRules([
            (new InspectionRule())
                ->setExclusionRule($exclusionRule)
        ]);

    $inspectConfig = (new InspectConfig())
        ->setInfoTypes([$emailAddress])
        ->setRuleSet([$inspectionRuleSet]);

    // Define type of deidentification as replacement.
    $primitiveTransformation = (new PrimitiveTransformation())
        ->setReplaceWithInfoTypeConfig(new ReplaceWithInfoTypeConfig());

    // Associate de-identification type with info type.
    $transformation = (new InfoTypeTransformation())
        ->setInfoTypes([$emailAddress])
        ->setPrimitiveTransformation($primitiveTransformation);

    // Construct the configuration for the de-id request and list all desired transformations.
    $deidentifyConfig = (new DeidentifyConfig())
        ->setInfoTypeTransformations(
            (new InfoTypeTransformations())
                ->setTransformations([$transformation])
        );

    // Send the request and receive response from the service
    $parent = "projects/$callingProjectId/locations/global";
    $deidentifyContentRequest = (new DeidentifyContentRequest())
        ->setParent($parent)
        ->setDeidentifyConfig($deidentifyConfig)
        ->setInspectConfig($inspectConfig)
        ->setItem($contentItem);
    $response = $dlp->deidentifyContent($deidentifyContentRequest);

    // Print the results
    printf('Text after replace with infotype config: %s', $response->getItem()->getValue());
}

Python

from typing import List

import google.cloud.dlp


def deidentify_with_exception_list(
    project: str, content_string: str, info_types: List[str], exception_list: List[str]
) -> None:
    """Uses the Data Loss Prevention API to de-identify sensitive data in a
      string but ignore matches against custom list.

    Args:
        project: The Google Cloud project id to use as a parent resource.
        content_string: The string to deidentify (will be treated as text).
        info_types: A list of strings representing info types to look for.
            A full list of info type categories can be fetched from the API.
        exception_list: The list of strings to ignore matches on.

    Returns:
          None; the response from the API is printed to the terminal.
    """

    # Instantiate a client
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct a list of infoTypes for DLP to locate in `content_string`. See
    # https://cloud.google.com/dlp/docs/concepts-infotypes for more information
    # about supported infoTypes.

    info_types = [{"name": info_type} for info_type in info_types]

    # Construct a rule set that will only match on info_type
    # if the matched text is not in the exception list.
    rule_set = [
        {
            "info_types": info_types,
            "rules": [
                {
                    "exclusion_rule": {
                        "dictionary": {"word_list": {"words": exception_list}},
                        "matching_type": google.cloud.dlp_v2.MatchingType.MATCHING_TYPE_FULL_MATCH,
                    }
                }
            ],
        }
    ]

    # Construct the configuration dictionary
    inspect_config = {
        "info_types": info_types,
        "rule_set": rule_set,
    }

    # Construct deidentify configuration dictionary
    deidentify_config = {
        "info_type_transformations": {
            "transformations": [
                {"primitive_transformation": {"replace_with_info_type_config": {}}}
            ]
        }
    }

    # Construct the `item`.
    item = {"value": content_string}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}/locations/global"

    # Call the API
    response = dlp.deidentify_content(
        request={
            "parent": parent,
            "deidentify_config": deidentify_config,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    print(response.item.value)

REST

次の JSON の例では、WordList メッセージ内のメールアドレスのサブセット（jack@example.org と jill@example.org）をリストするカスタム辞書を作成し、カスタム infoType 名 DEVELOPER_EMAIL を割り当てています。この JSON は Sensitive Data Protection に対し、指定されたメールアドレスを無視して、検出した他のメールアドレスをその infoType（この場合は EMAIL_ADDRESS）に対応する文字列に置き換えるよう指示します。

JSON 入力:

POST https://dlp.googleapis.com/v2/projects/[PROJECT_ID]/content:deidentify?key={YOUR_API_KEY}

{
  "item":{
    "value":"jack@example.org accessed customer record of user5@example.com"
  },
  "deidentifyConfig":{
    "infoTypeTransformations":{
      "transformations":[
        {
          "primitiveTransformation":{
            "replaceWithInfoTypeConfig":{

            }
          },
          "infoTypes":[
            {
              "name":"EMAIL_ADDRESS"
            }
          ]
        }
      ]
    }
  },
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"DEVELOPER_EMAIL"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "jack@example.org",
              "jill@example.org"
            ]
          }
        }
      }
    ],
    "infoTypes":[
      {
        "name":"EMAIL_ADDRESS"
      }
    ]
    "ruleSet": [
      {
        "infoTypes": [
          {
            "name": "EMAIL_ADDRESS"
          }
        ],
        "rules": [
          {
            "exclusionRule": {
              "excludeInfoTypes": {
                "infoTypes": [
                  {
                    "name": "DEVELOPER_EMAIL"
                  }
                ]
              },
              "matchingType": "MATCHING_TYPE_FULL_MATCH"
            }
          }
        ]
      }
    ]
  }
}

JSON 出力:

POST でこの JSON を content:deidentify に送信すると、次の JSON レスポンスが返されます。

{
  "item":{
    "value":"jack@example.org accessed customer record of [EMAIL_ADDRESS]"
  },
  "overview":{
    "transformedBytes":"17",
    "transformationSummaries":[
      {
        "infoType":{
          "name":"EMAIL_ADDRESS"
        },
        "transformation":{
          "replaceWithInfoTypeConfig":{

          }
        },
        "results":[
          {
            "count":"1",
            "code":"SUCCESS"
          }
        ],
        "transformedBytes":"17"
      }
    ]
  }
}

出力では、user1@example.com が EMAIL_ADDRESS infoType 検出機能に一致し、jack@example.org が DEVELOPER_EMAIL カスタム infoType 検出機能に一致していることが正しく識別されています。EMAIL_ADDRESS だけを変換することにしたため、jack@example.org は変更されていません。

組み込みの infoType 検出器の拡張

組み込みの infoType 検出機能で正しい値が返されない場合について考えてみます。たとえば、個人名の一致を返したいときに、データセットに共通の個人名の一部が機密データの保護の組み込み PERSON_NAME 検出器で返されないとします。

Sensitive Data Protection では、次の例のようにカスタム infoType 検出機能の宣言に組み込み検出機能を含めることで、組み込みの infoType 検出機能の機能を拡張できます。このスニペットは、Sensitive Data Protection を構成して、組み込みの PERSON_NAME infoType 検出機能で名前「Quasimodo」が照合されるようにする方法を示しています。

C#


using Google.Api.Gax.ResourceNames;
using Google.Cloud.Dlp.V2;
using Google.Protobuf;
using System;
using System.Linq;
using static Google.Cloud.Dlp.V2.CustomInfoType.Types;

public class InspectDataUsingAugmentInfoTypes
{
    public static InspectContentResponse InspectData(
        string projectId,
        string text,
        InfoType infoType = null)
    {
        // Instantiate the dlp client.
        var dlp = DlpServiceClient.Create();

        // Specify the type of info to be inspected and construct the infotype.
        var infotype = infoType ?? new InfoType { Name = "PERSON_NAME" };

        // Construct the custom infoTypes with dictionary.
        var customInfoTypes = new CustomInfoType
        {
            InfoType = infotype,
            Dictionary = new Dictionary
            {
                WordList = new Dictionary.Types.WordList
                {
                    Words = { new string[] { "quasimodo" } }
                }
            }
        };

        // Construct the inspect config using custom infoTypes.
        var inspectConfig = new InspectConfig
        {
            CustomInfoTypes = { customInfoTypes },
            IncludeQuote = true,
            InfoTypes = { infotype }
        };

        // Construct the request.
        var request = new InspectContentRequest
        {
            ParentAsLocationName = new LocationName(projectId, "global"),
            InspectConfig = inspectConfig,
            Item = new ContentItem
            {
                ByteItem = new ByteContentItem
                {
                    Data = ByteString.CopyFromUtf8(text),
                    Type = ByteContentItem.Types.BytesType.TextUtf8
                }
            }
        };

        // Call the API.
        InspectContentResponse response = dlp.InspectContent(request);

        // Parse the response.
        var findings = response.Result.Findings;
        Console.WriteLine($"Finding: {findings.Count}");

        foreach (var f in findings)
        {
            Console.WriteLine("\tQuote: " + f.Quote);
            Console.WriteLine("\tInfo type: " + f.InfoType.Name);
            Console.WriteLine("\tLikelihood: " + f.Likelihood);
        }

        return response;
    }
}

Go

import (
	"context"
	"fmt"
	"io"

	dlp "cloud.google.com/go/dlp/apiv2"
	"cloud.google.com/go/dlp/apiv2/dlppb"
)

// inspectAugmentInfoTypes performs info type augmentation using Google Cloud DLP.
// It enhances data inspection by supplementing existing info types with custom-defined ones,
// expanding the ability to identify sensitive information in different contexts.
func inspectAugmentInfoTypes(w io.Writer, projectID, textToInspect string, wordList []string) error {
	// projectID := "your-project-id"
	// textToInspect := "The patient's name is quasimodo"
	// wordList := []string{"quasimodo"}

	ctx := context.Background()

	// Initialize a client once and reuse it to send multiple requests. Clients
	// are safe to use across goroutines. When the client is no longer needed,
	// call the Close method to cleanup its resources.
	client, err := dlp.NewClient(ctx)
	if err != nil {
		return err
	}

	// Closing the client safely cleans up background resources.
	defer client.Close()

	// Specify the content to be inspected.
	item := &dlppb.ContentItem{
		DataItem: &dlppb.ContentItem_Value{
			Value: textToInspect,
		},
	}

	// Construct the custom word list to be detected.
	dictionary := &dlppb.CustomInfoType_Dictionary{
		Source: &dlppb.CustomInfoType_Dictionary_WordList_{
			WordList: &dlppb.CustomInfoType_Dictionary_WordList{
				Words: wordList,
			},
		},
	}

	// Specify the type of info the inspection will look for.
	// See https://cloud.google.com/dlp/docs/infotypes-reference for complete list of info types.
	infoType := &dlppb.InfoType{
		Name: "PERSON_NAME",
	}

	// Construct a custom infoType detector by augmenting the PERSON_NAME detector with a word list.
	customInfoType := &dlppb.CustomInfoType{
		InfoType: infoType,
		Type: &dlppb.CustomInfoType_Dictionary_{
			Dictionary: dictionary,
		},
	}

	// Specify the inspect config for data inspection settings in DLP API, enabling rule
	// specification, custom info types, and actions on sensitive data. Crucial for tailored
	// data protection and privacy regulation compliance.
	inspectConfig := &dlppb.InspectConfig{
		CustomInfoTypes: []*dlppb.CustomInfoType{
			customInfoType,
		},
		IncludeQuote: true,
	}

	// Construct the Inspect request to be sent by the client.
	req := &dlppb.InspectContentRequest{
		Parent:        fmt.Sprintf("projects/%s/locations/global", projectID),
		Item:          item,
		InspectConfig: inspectConfig,
	}

	// Create the request for the job configured above.
	resp, err := client.InspectContent(ctx, req)
	if err != nil {
		return err
	}

	// Process the results.
	result := resp.Result
	fmt.Fprintf(w, "Findings: %d\n", len(result.Findings))
	for _, f := range result.Findings {
		fmt.Fprintf(w, "\tQuote: %s\n", f.Quote)
		fmt.Fprintf(w, "\tInfo type: %s\n", f.InfoType.Name)
		fmt.Fprintf(w, "\tLikelihood: %s\n", f.Likelihood)
	}
	return nil
}

Java


import com.google.cloud.dlp.v2.DlpServiceClient;
import com.google.privacy.dlp.v2.ByteContentItem;
import com.google.privacy.dlp.v2.ContentItem;
import com.google.privacy.dlp.v2.CustomInfoType;
import com.google.privacy.dlp.v2.Finding;
import com.google.privacy.dlp.v2.InfoType;
import com.google.privacy.dlp.v2.InspectConfig;
import com.google.privacy.dlp.v2.InspectContentRequest;
import com.google.privacy.dlp.v2.InspectContentResponse;
import com.google.privacy.dlp.v2.LocationName;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;

public class InspectStringAugmentInfoType {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    // The Google Cloud project id to use as a parent resource.
    String projectId = "your-project-id";
    // The string to de-identify.
    String textToInspect = "The patient's name is quasimodo";
    // The string to be additionally matched.
    List<String> wordList = Arrays.asList("quasimodo");
    inspectStringAugmentInfoType(projectId, textToInspect, wordList);
  }

  // Inspects the text using new custom words added to the dictionary.
  public static void inspectStringAugmentInfoType(
      String projectId, String textToInspect, List<String> wordList) throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DlpServiceClient dlp = DlpServiceClient.create()) {
      // Specify the type and content to be inspected.
      ByteContentItem byteItem =
          ByteContentItem.newBuilder()
              .setType(ByteContentItem.BytesType.TEXT_UTF8)
              .setData(ByteString.copyFromUtf8(textToInspect))
              .build();
      ContentItem item = ContentItem.newBuilder().setByteItem(byteItem).build();

      // Construct the custom word list to be detected.
      CustomInfoType.Dictionary dictionary =
          CustomInfoType.Dictionary.newBuilder()
              .setWordList(
                  CustomInfoType.Dictionary.WordList.newBuilder().addAllWords(wordList).build())
              .build();

      InfoType infoType = InfoType.newBuilder().setName("PERSON_NAME").build();
      // Construct a custom infotype detector by augmenting the PERSON_NAME detector with a word
      // list.
      CustomInfoType customInfoType =
          CustomInfoType.newBuilder().setInfoType(infoType).setDictionary(dictionary).build();

      InspectConfig inspectConfig =
          InspectConfig.newBuilder()
              .addCustomInfoTypes(customInfoType)
              .setIncludeQuote(true)
              .build();

      // Construct the Inspect request to be sent by the client.
      InspectContentRequest request =
          InspectContentRequest.newBuilder()
              .setParent(LocationName.of(projectId, "global").toString())
              .setItem(item)
              .setInspectConfig(inspectConfig)
              .build();

      // Use the client to send the API request.
      InspectContentResponse response = dlp.inspectContent(request);

      // Parse the response and process results
      System.out.println("Findings: " + response.getResult().getFindingsCount());
      for (Finding f : response.getResult().getFindingsList()) {
        System.out.println("\tQuote: " + f.getQuote());
        System.out.println("\tInfo type: " + f.getInfoType().getName());
        System.out.println("\tLikelihood: " + f.getLikelihood());
      }
    }
  }
}

Node.js

// Imports the Google Cloud client library
const DLP = require('@google-cloud/dlp');
// Instantiates a client
const dlp = new DLP.DlpServiceClient();

// The project ID to run the API call under
// const projectId = 'my-project';

// The string to inspect
// const string = "The patient's name is quasimodo";

// Word list
// const words = ['quasimodo'];

async function inspectStringAugmentInfoType() {
  // Specify the type and content to be inspected.
  const byteItem = {
    type: 'BYTES',
    data: Buffer.from(string),
  };
  const item = {byteItem: byteItem};

  // Construct the custom word list to be detected.
  const dictionary = {
    wordList: {
      words: words,
    },
  };

  // Construct a custom infotype detector by augmenting the PERSON_NAME detector with a word list.
  const customInfoType = {
    infoType: {name: 'PERSON_NAME'},
    dictionary: dictionary,
  };

  const inspectConfig = {
    customInfoTypes: [customInfoType],
    includeQuote: true,
  };

  // Construct the Inspect request to be sent by the client.
  const inspectRequest = {
    parent: `projects/${projectId}/locations/global`,
    inspectConfig: inspectConfig,
    item: item,
  };

  // Use the client to send the API request.
  const [response] = await dlp.inspectContent(inspectRequest);

  // Print Findings.
  const findings = response.result.findings;
  if (findings.length > 0) {
    console.log(`Findings: ${findings.length}\n`);
    findings.forEach(finding => {
      console.log(`InfoType: ${finding.infoType.name}`);
      console.log(`\tQuote: ${finding.quote}`);
      console.log(`\tLikelihood: ${finding.likelihood} \n`);
    });
  } else {
    console.log('No findings.');
  }
}
inspectStringAugmentInfoType();

PHP

use Google\Cloud\Dlp\V2\Client\DlpServiceClient;
use Google\Cloud\Dlp\V2\ContentItem;
use Google\Cloud\Dlp\V2\CustomInfoType;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary;
use Google\Cloud\Dlp\V2\CustomInfoType\Dictionary\WordList;
use Google\Cloud\Dlp\V2\InfoType;
use Google\Cloud\Dlp\V2\InspectConfig;
use Google\Cloud\Dlp\V2\InspectContentRequest;
use Google\Cloud\Dlp\V2\Likelihood;

/**
 * Augment a built-in infotype detector.
 * Consider a scenario in which a built-in infoType detector isn’t returning the correct values.
 * For example, you want to return matches on person names, but Cloud DLP's built-in
 * PERSON_NAME detector is failing to return matches on some person names that are common in your dataset.
 * Cloud DLP allows you to augment built-in infoType detectors by including a built-in detector in the
 * declaration for a custom infoType detector, as shown in the following example. This snippet
 * illustrates how to configure Cloud DLP so that the PERSON_NAME built-in infoType detector will
 * additionally match the name “Quasimodo:”.
 *
 * @param string $projectId         The Google Cloud project id to use as a parent resource.
 * @param string $textToInspect     The string to inspect.
 * @param array  $matchWordList     Specify the set of words to match.
 */
function inspect_augment_infotypes(
    // TODO(developer): Replace sample parameters before running the code.
    string $projectId,
    string $textToInspect = 'Smith and Quasimodo are good cricketer',
    array  $matchWordList = ['quasimodo']
): void {
    // Instantiate a client.
    $dlp = new DlpServiceClient();

    $parent = "projects/$projectId/locations/global";

    // Specify what content you want the service to Inspect.
    $item = (new ContentItem())
        ->setValue($textToInspect);

    // The infoTypes of information to match.
    $personNameInfoType = (new InfoType())
        ->setName('PERSON_NAME');

    // Construct the word list to be detected.
    $wordList = (new Dictionary())
        ->setWordList((new WordList())
            ->setWords($matchWordList));

    // Construct the custom infotype detector.
    $customInfoType = (new CustomInfoType())
        ->setInfoType($personNameInfoType)
        ->setLikelihood(Likelihood::POSSIBLE)
        ->setDictionary($wordList);

    // Construct the configuration for the Inspect request.
    $inspectConfig = (new InspectConfig())
        ->setCustomInfoTypes([$customInfoType])
        ->setIncludeQuote(true);

    // Run request.
    $inspectContentRequest = (new InspectContentRequest())
        ->setParent($parent)
        ->setInspectConfig($inspectConfig)
        ->setItem($item);
    $response = $dlp->inspectContent($inspectContentRequest);

    // Print the results.
    $findings = $response->getResult()->getFindings();
    if (count($findings) == 0) {
        printf('No findings.' . PHP_EOL);
    } else {
        printf('Findings:' . PHP_EOL);
        foreach ($findings as $finding) {
            printf('  Quote: %s' . PHP_EOL, $finding->getQuote());
            printf('  Info type: %s' . PHP_EOL, $finding->getInfoType()->getName());
            printf('  Likelihood: %s' . PHP_EOL, Likelihood::name($finding->getLikelihood()));
        }
    }
}

Python

from typing import List

import google.cloud.dlp


def inspect_string_augment_infotype(
    project: str,
    input_str: str,
    info_type: str,
    word_list: List[str],
) -> None:
    """Uses the Data Loss Prevention API to augment built-in infoType
    detector and inspect the content string with augmented infoType.
    Args:
        project: The Google Cloud project id to use as a parent resource.
        input_str: The string to inspect using augmented infoType
            (will be treated as text).
        info_type: A string representing built-in infoType to augment.
            A full list of infoType categories can be fetched from the API.
        word_list: List of words or phrases to be added to extend the behaviour
            of built-in infoType.
    """

    # Instantiate a client.
    dlp = google.cloud.dlp_v2.DlpServiceClient()

    # Construct the custom infoTypes dictionary with declaration of a built-in detector.
    custom_info_types = [
        {
            "info_type": {"name": info_type},
            "dictionary": {"word_list": {"words": word_list}},
        }
    ]

    # Construct inspect configuration dictionary with the custom info type.
    inspect_config = {
        "custom_info_types": custom_info_types,
        "include_quote": True,
    }

    # Construct the `item` to be inspected.
    item = {"value": input_str}

    # Convert the project id into a full resource id.
    parent = f"projects/{project}"

    # Call the API.
    response = dlp.inspect_content(
        request={
            "parent": parent,
            "inspect_config": inspect_config,
            "item": item,
        }
    )

    # Print out the results.
    if response.result.findings:
        for finding in response.result.findings:
            print(f"Quote: {finding.quote}")
            print(f"Info type: {finding.info_type.name}")
            print(f"Likelihood: {finding.likelihood} \n")
    else:
        print("No findings.")

REST

...
  "inspectConfig":{
    "customInfoTypes":[
      {
        "infoType":{
          "name":"PERSON_NAME"
        },
        "dictionary":{
          "wordList":{
            "words":[
              "quasimodo"
            ]
          }
        }
      }
    ]
  }
...

次のステップ

大規模なカスタム辞書について確認する。

標準のカスタム辞書検出器の作成 コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。

辞書のカスタム infoType 検出機能の詳細

辞書での照合について

例

単純な単語リスト

C#

Go

Java

Node.js

PHP

Python

REST

例外リスト

C#

Go

Java

Node.js

PHP

Python

REST

組み込みの infoType 検出器の拡張

C#

Go

Java

Node.js

PHP

Python

REST

次のステップ

標準のカスタム辞書検出器の作成