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    Google Cloud Security

    Data Security Posture Management (DSPM)Cloud DLPData DiscoveryData ClassificationData De-identification

    Google Cloud DLP (now Sensitive Data Protection) is a fully managed service for discovering, classifying, and protecting sensitive data across Google Cloud Platform resources including BigQuery, Cloud Storage, and Datastore. It scans structured/unstructured data, text streams, and images via OCR, using over 200 built-in infoType detectors for PII like credit card numbers and phone numbers. De-identification methods include masking, redaction, tokenization, format-preserving encryption, and date-shifting. Best for enterprises with heavy GCP usage needing automated, scalable scanning of data at rest and in transit via API or console.

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    Google Cloud DLP identifies and classifies sensitive data in text, images, BigQuery, Cloud Storage, and Datastore, then applies de-identification controls such as masking and redaction. Its main differentiator is tight integration with Google Cloud data services plus an API for real-time inspection in custom applications. It fits enterprises that need DLP for cloud data at rest and in motion, especially those standardized on Google Cloud.

    • Enterprises heavily invested in Google Cloud Platform seeking to automate sensitive data discovery, classification, and protection across their GCP resources.
    • Automated PII discovery in BigQuery datasets
    • Scanning Cloud Storage buckets for sensitive documents
    • Redacting sensitive information from logs and application outputs
    • Implementing data loss prevention for shared content in Google Workspace

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    Google Cloud DLP pricing and integrations

    For Google Cloud DLP integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.

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    Profile last updated on 7 September 2026 by Picari.