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Cloud Data Loss Prevention
source link: https://cloud.google.com/dlp
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Cloud Data Loss Prevention
Fully managed service designed to help you discover, classify, and protect your most sensitive data.
- check_circle_filled_black_24dp (1) Take charge of your data on or off cloud
- check_circle_filled_black_24dp (1) Inspect your data to gain valuable insights and make informed decisions to secure your data
- check_circle_filled_black_24dp (1) Effectively reduce data risk with de-identification methods like masking and tokenization
- check_circle_filled_black_24dp (1) Seamlessly inspect and transform structured and unstructured data
Benefits
Gain visibility into the data you store and process
Create dashboards and audit reports. Automate tagging, remediation, or policy based on findings. Connect DLP results into Security Command Center, Data Catalog, or export to your own SIEM or governance tool.
Configure data inspection and monitoring with ease
Schedule inspection jobs directly in the console UI or stream data into our API to inspect or protect workloads on Google Cloud, on-premises, mobile applications, or other cloud service providers.
Reduce risk to unlock more data for your business
Protection of sensitive data, like personally identifiable information (PII), is critical to your business. Deploy de-identification in migrations, data workloads, and real-time data collection and processing.
Key features
Key features
Data discovery and classification
With over 120 built-in infoTypes, Cloud DLP gives you the power to scan, discover, classify, and report on data from virtually anywhere. Cloud DLP has native support for scanning and classifying sensitive data in Cloud Storage, BigQuery, and Datastore and a streaming content API to enable support for additional data sources, custom workloads, and applications.
Automatically mask your data to safely unlock more of the cloud
Cloud DLP provides tools to classify, mask, tokenize, and transform sensitive elements to help you better manage the data that you collect, store, or use for business or analytics. With support for structured and unstructured data, Cloud DLP can help you preserve the utility of your data for joining, analytics, and AI while protecting the raw sensitive identifiers.
Measure re-identification risk in structured data
Enhance your understanding of data privacy risk. Quasi-identifiers are partially-identifying elements or combinations of data that may link to a single person or a very small group. Cloud DLP allows you to measure statistical properties such as k-anonymity and l-diversity, expanding your ability to understand and protect data privacy.
Documentation
Documentation
De-identification of PII in large-scale data using Cloud DLP
This solution shows how to use Cloud DLP to create an automated transformation pipeline to de-identify sensitive data like personally identifiable information (PII).
Automating the classification of data in Cloud Storage
This tutorial shows how to implement an automated data quarantine and classification system using Cloud Storage and other Google Cloud products.
Relational database import to BigQuery with Dataflow
This proof-of-concept uses Dataflow and Cloud DLP to securely tokenize and import data from a relational database to BigQuery.
Using a Cloud DLP proxy to query a database
This concept architecture uses a proxy that parses, inspects, and then either logs the findings or de-identifies the results by using Cloud DLP.
Inspecting storage and databases for sensitive data
Instructions for setting up an inspection scan using Cloud DLP in the Cloud Console, and (optionally) for scheduling periodic repeating inspection scans.
Scheduling a Cloud DLP inspection scan
You can schedule inspection scans of storage repositories like Cloud Storage, BigQuery, and Datastore using Cloud DLP’s job trigger feature.
Cloud DLP Client Libraries
This page shows how to get started with the Cloud Client Libraries for the Cloud Data Loss Prevention API.
Not seeing what you’re looking for?
Use cases
Use cases
Cloud DLP can help classify your data on or off cloud giving you the insights you need to ensure proper governance, control, and compliance. Save detailed findings to BigQuery for analysis or publish summary findings to other services like Data Catalog, Security Command Center, Cloud Monitoring, and Pub/Sub. Audit and monitor your data in Cloud Console or build custom reports and dashboards using Google Data Studio or your tool of choice.
Scan for sensitive data in just a few clicks
A deeper look at the Google Cloud Console user interface for Cloud DLP to show how you can start to inspect your enterprise data with just a few clicks.
Automating the classification of data in Cloud Storage
This tutorial shows how to implement an automated data quarantine and classification system using Cloud Storage and other Google Cloud products.
Quickstart: Scheduling a Cloud DLP inspection scan
Get started with Cloud DLP to inspect and monitor your data using jobs and job triggers.
Unblock more workloads as you migrate to the cloud. Cloud DLP enables you to inspect and classify your sensitive data in structured and unstructured workloads. De-identification techniques like tokenization (pseudonymization) let you preserve the utility of your data for joining or analytics while reducing the risk of handling the data by obfuscating the raw sensitive identifiers.
De-identification of PII in large-scale datasets
Reference on how to use Cloud DLP to create an automated data transformation pipeline to de-identify sensitive data like personally identifiable information (PII).
Relational database import to BigQuery with Dataflow
This concept architecture uses Dataflow and Cloud DLP to securely tokenize and import data from a relational database to BigQuery.
All features
All features
Pricing
Pricing
Pricing for Cloud DLP is based on total bytes processed with rate schedules based on total volume. You can try DLP for free using the monthly free tier.
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