Sensitive Data Protection documentation
Sensitive Data Protection provides access to a powerful sensitive data inspection, classification, and de-identification platform.
Sensitive Data Protection includes:
- Over 200 built-in information type (or "infoType") detectors.
- The ability to define custom infoType detectors using dictionaries, regular expressions, and contextual elements.
- De-identification techniques including redaction, masking, format-preserving encryption, date-shifting, and more.
- The ability to detect sensitive data within streams of data, structured text, files in storage repositories such as Cloud Storage and BigQuery, and even within images.
- Analysis of structured data to help understand its risk of being re-identified, including computation of metrics like k-anonymity, l-diversity, and more.
- The ability to automatically discover unencrypted secrets and profile data across an organization, folder, or project to identify data assets where high-risk and sensitive data reside.
Start your next project with $300 in free credit
Build and test a proof of concept with the free trial credits and free monthly usage of 20+ products.
Documentation resources
Guides
-
Quickstart: Using a JSON request
-
Quickstart: Inspect sensitive text by using the command line
-
Quickstart: Schedule a Sensitive Data Protection inspection scan
-
De-identifying sensitive data
-
Redacting sensitive data from images
-
Inspecting storage and databases for sensitive data
-
Inspecting text for sensitive data
-
Creating inspection templates
-
Creating and scheduling inspection jobs
-
Related resources
Related videos
Migrating App Engine pull tasks to Cloud Pub/Sub (Module 19)
Serverless Migration Station is a Serverless Expeditions mini-series focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In Module 19, the second video focused on App Engine pull tasks,
How to use App Engine Task Queue pull tasks (Module 18)
Serverless Migration Station is a Serverless Expeditions mini-series focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In Module 18, Google engineers Martin & Wesley show viewers how
Refactoring a Python 2 Cloud NDB app to Python 3 & Cloud Firestore (Module 9)
Module 9 resources: Codelab → https://goo.gle/3pYGwzA Python 2 START ("mod8") code → https://goo.gle/3j3TyYa Python 3 FINISH ("mod9") code → https://goo.gle/3BCemfZ Serverless Migration Station is a Serverless Expeditions mini-series, designed to
Migrating App Engine push queues to Cloud Tasks (Module 8)
Module 8 references: Codelab → https://goo.gle/3lJMtxF Python 2 START ("mod7") code → https://goo.gle/3kEvtsl Python 2 FINISH ("mod8") code → https://goo.gle/3j3TyYa Serverless Migration Station is a Serverless Expeditions mini-series, designed to
How to use App Engine push queues in Flask apps
Codelab → https://goo.gle/3hYdmf2 Python 2 START ("mod1") code → https://goo.gle/3xfynHx Python 2 FINISH ("mod7") code → https://goo.gle/3kEvtsl Serverless Migration Station is a Serverless Expeditions mini-series focused on helping developers
Pub/Sub tips and tricks
Dead-letter queues → http://goo.gle/3u5dLkl Message ordering → http://goo.gle/2M5CaVK Replaying past messages → http://goo.gle/3du08oP Pub/Sub is an asynchronous messaging service that can help you easily run serverless applications. However, there
Task Queues, Stackdriver, & more!
Here to bring you the latest news in the cloud is Google Cloud Developer Advocate Mark Mirchandani. Learn more about these announcements → https://bit.ly/2IOikem • Queued Up → https://bit.ly/2PzLTRC • Big Data, Big Updates → https://bit.ly/2PytVyB •
Messaging on the Cloud: GCPPodcast 7
Original post: https://www.gcppodcast.com/post/episode-7-messaging-on-the-cloud/ In the seventh episode of this podcast, your hosts Francesc and Mark discuss the different ways messaging can be done on Google Cloud Platform, covering Pub/Sub and Task