Cloud Data Loss Prevention (DLP) API

 Fully managed service designed to help you discover, classify, and protect your most sensitive data.

  • Take charge of your data on or off cloud 
  • Inspect your data to gain valuable insights and make informed decisions to secure your data
  •  Effectively reduce data risk with de-identification methods like masking and tokenization
  •  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
  • 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.

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