The Data Loss Prevention API provides programmatic access to a powerful detection engine for personally identifiable information and other privacy-sensitive data in unstructured data streams.

• A Google Cloud project with billing enabled
• Enable the DLP API.
• (Local testing) Create a service account and set the GOOGLE_APPLICATION_CREDENTIALS environment variable pointing to the downloaded credentials file.
• (Local testing) Set the DLP_DEID_WRAPPED_KEY environment variable to an AES-256 key encrypted ('wrapped') with a Cloud Key Management Service (KMS) key.
• (Local testing) Set the DLP_DEID_KEY_NAME environment variable to the path-name of the Cloud KMS key you wrapped DLP_DEID_WRAPPED_KEY with.

This project uses the Assembly Plugin to build an uber jar. Run:

   mvn clean package -DskipTests

An InfoType identifier represents an element of sensitive data.

InfoTypes are updated periodically. Use the API to retrieve the most current InfoTypes.

  java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Metadata

The Quickstart demonstrates using the DLP API to identify an InfoType in a given string.

   java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.QuickStart

Inspect strings, files locally and on Google Cloud Storage, Cloud Datastore, and BigQuery with the DLP API.

Note: image scanning is not currently supported on Google Cloud Storage. For more information, refer to the API documentation. Optional flags are explained in this resource.

usage: com.example.dlp.Inspect
 -bq,--Google BigQuery         inspect BigQuery table
 -bucketName <arg>
 -customDictionaries <arg>
 -customRegexes <arg>
 -datasetId <arg>
 -ds,--Google Datastore        inspect Datastore kind
 -f,--file path <arg>          inspect input file path
 -fileName <arg>
 -gcs,--Google Cloud Storage   inspect GCS file
 -includeQuote <arg>
 -infoTypes <arg>
 -kind <arg>
 -maxFindings <arg>
 -minLikelihood <arg>
 -namespace <arg>
 -projectId <arg>
 -s,--string <arg>             inspect string
 -subscriptionId <arg>
 -tableId <arg>
 -topicId <arg>

• Inspect a string:

  java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -s "My phone number is (123) 456-7890 and my email address is [email protected]" -infoTypes PHONE_NUMBER EMAIL_ADDRESS
  java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -s "My phone number is (123) 456-7890 and my email address is [email protected]" -customDictionaries [email protected] -customRegexes "\(\d{3}\) \d{3}-\d{4}"
  

• Inspect a local file (text / image):

    java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -f src/test/resources/test.txt -infoTypes PHONE_NUMBER EMAIL_ADDRESS
    java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -f src/test/resources/test.png -infoTypes PHONE_NUMBER EMAIL_ADDRESS
  

• Inspect a file on Google Cloud Storage:

    java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -gcs -bucketName my-bucket -fileName my-file.txt -infoTypes PHONE_NUMBER EMAIL_ADDRESS
  

• Inspect a Google Cloud Datastore kind:

    java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Inspect -ds -kind my-kind -infoTypes PHONE_NUMBER EMAIL_ADDRESS
  

Automatic redaction produces an output image with sensitive data matches removed.

Commands:
  -f <string>                   Source image file
  -o <string>                   Destination image file
 Options:
  --help               Show help
  -minLikelihood       choices: "LIKELIHOOD_UNSPECIFIED", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY"]
                       [default: "LIKELIHOOD_UNSPECIFIED"]
                       specifies the minimum reporting likelihood threshold.
  
  -infoTypes      set of infoTypes to search for [eg. PHONE_NUMBER US_PASSPORT]

• Redact phone numbers and email addresses from test.png:

    java -cp dlp/target/dlp-samples-1.0-jar-with-dependencies.jar com.example.dlp.Redact -f src/test/resources/test.png -o test-redacted.png -infoTypes PHONE_NUMBER EMAIL_ADDRESS
  

• Create a Google Cloud Storage bucket and upload test.txt.
• Create a Google Cloud Datastore kind and add an entity with properties:
  • property1 : [email protected]
  • property2 : 343-343-3435
• Update the Google Cloud Storage path and Datastore kind in InspectIT.java.
• Ensure that GOOGLE_APPLICATION_CREDENTIALS points to authorized service account credentials file.

Run all tests:

   mvn clean verify