Cloud Data Loss Prevention (Cloud DLP) ora fa parte di Sensitive Data Protection. Il nome dell'API rimane invariato: API Cloud Data Loss Prevention (API DLP). Per informazioni sui servizi che compongono Sensitive Data Protection, consulta la panoramica di Sensitive Data Protection.
Pianifica l'ispezione periodica di un
bucket Cloud Storage, di una tabella BigQuery o di un tipo di Datastore. Per istruzioni dettagliate, consulta
Creare e pianificare i job di ispezione.
Guide illustrative
Questa sezione fornisce un elenco classificato di guide basate su attivitร che mostrano come utilizzare Sensitive Data Protection con Cloud Storage.
Crea e pianifica un trigger di job che cerca dati sensibili in un bucket Cloud Storage, una tabella BigQuery o un tipo di datastore. Un trigger per job automatizza la creazione di job di Sensitive Data Protection su base periodica.
Crea una pipeline di trasformazione dei dati automatizzata per anonimizzare i dati sensibili come le informazioni che consentono l'identificazione personale (PII).
Implementa un sistema automatizzato di quarantena e classificazione dei dati utilizzando Sensitive Data Protection, Cloud Storage e le funzioni Cloud Run.
Contributi della community
I seguenti elementi sono di proprietร e gestiti dai membri della community e non dal team di protezione dei dati sensibili. Per domande su questi elementi, contatta i rispettivi proprietari.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema รจ stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-01 UTC."],[],[],null,["# Using Sensitive Data Protection with Cloud Storage\n\n\u003cbr /\u003e\n\nThis page contains references to pages that provide information on how\nto use Sensitive Data Protection with [Cloud Storage](/storage).\n\nQuickstart guides\n-----------------\n\n[Quickstart: Scheduling an inspection scan](/sensitive-data-protection/docs/schedule-inspection-scan)\n: Schedule periodic inspection of a\n Cloud Storage bucket, a BigQuery table, or a\n Datastore kind. For detailed instructions, see\n [Creating and scheduling inspection jobs](/sensitive-data-protection/docs/creating-job-triggers).\n\nHow-to guides\n-------------\n\nThis section provides a categorized list of task-based guides that demonstrate\nhow to use Sensitive Data Protection with Cloud Storage.\n\n### Inspection\n\n[Inspecting storage and databases for sensitive data](/sensitive-data-protection/docs/inspecting-storage)\n: Create a one-time job that searches for sensitive data in a Cloud Storage\n bucket, a BigQuery table, or a Datastore kind.\n\n[Creating and scheduling inspection jobs](/sensitive-data-protection/docs/creating-job-triggers)\n: Create and schedule a job trigger that searches for sensitive data in a\n Cloud Storage bucket, a BigQuery table, or a\n Datastore kind. A job trigger automates the creation of\n Sensitive Data Protection jobs on a periodic basis.\n\n### Working with scan results\n\n[Sending Sensitive Data Protection scan results to Security Command Center](/sensitive-data-protection/docs/sending-results-to-scc)\n: Scan a Cloud Storage bucket, a BigQuery table, or a\n Datastore kind, and then send the findings to Security Command Center.\n\n[Analyzing and reporting on Sensitive Data Protection findings](/sensitive-data-protection/docs/analyzing-and-reporting)\n: Use Cloud Storage to run analytics on Sensitive Data Protection\n findings.\n\nTutorials\n---------\n\n[De-identification and re-identification of PII in large-scale datasets using Sensitive Data Protection](/architecture/de-identification-re-identification-pii-using-cloud-dlp)\n: Create an automated data transformation pipeline to de-identify sensitive data\n like personally identifiable information (PII).\n\n[Automating the classification of data uploaded to Cloud Storage](/sensitive-data-protection/docs/automating-classification-of-data-uploaded-to-cloud-storage)\n: Implement an automated data quarantine and classification system using Sensitive Data Protection, Cloud Storage, and Cloud Run functions.\n\nCommunity contributions\n-----------------------\n\nThe following are owned and managed by community members, and not by the\nSensitive Data Protection team. For questions on these items, contact their\nrespective owners.\n\n[GitHub: Speech Redaction Framework](https://github.com/GoogleCloudPlatform/dataflow-speech-redaction)\n: Redact sensitive information from audio files in Cloud Storage.\n\n[GitHub: Speech Analysis Framework](https://github.com/GoogleCloudPlatform/dataflow-contact-center-speech-analysis)\n: Transcribe audio, create a data pipeline for analytics of transcribed audio\n files, and redact sensitive information from audio transcripts.\n\n[GitHub: Real-time anomaly detection using Google Cloud stream analytics and AI services](https://github.com/GoogleCloudPlatform/df-ml-anomaly-detection)\n: Walk through a real-time artificial intelligence (AI) pattern for detecting\n anomalies in log files.\n\nPricing\n-------\n\nWhen you inspect a Cloud Storage bucket, you incur\nSensitive Data Protection costs, according to the [storage inspection job pricing](/sensitive-data-protection/pricing#storage-pricing)."]]
