Leveraging Google Cloud Platform with Data Loss Prevention and Data De-Identification
Join Google Cloud and Carahsoft for a walkthrough of the Google Cloud Data Loss Prevention (DLP) functionality. We will discuss defining what de-identification is, why it's important, and how Google DLP leverages Cloud Machine Learning to detect, redact, and anonymize sensitive text and image data. Attendees will also see several demos highlight: redaction of text and DICOM (radiograph, MRI) images, DLP scanning of storage and data warehouses, and de-identifying structured data. Register now to save your spot and learn more!
Join us to learn about the following topics:
- Where Cloud DLP can help:
- Discover where sensitive data exists in the environment
- Provide valuable insights and understand risk of managed data
- Reduce inadvertent collection of sensitive data ("data minimization") in real-time or batch workloads
- Process sensitive workloads with reduced risk through data de-identification and obfuscation
- What DLP can do:
- Classification of sensitive data such as Personally Identifiable Information (PII)
- Data masking, format-preserving encryption, and transformation
- Data de-identification
- Pseudonymization of data to reduce identification through outliers
- Re-identification risk analysis (k-anonymity)
- DLP capabilities specific to Financial Services, Health Care, and Life Sciences:
- Automate discover and classification of sensitive data
- Automate de-identification pipelines
- Run statistical risk analysis on data to help with HIPAA "Expert Determination"
Speaker and Presenter Information
Jason Nichols, Customer Engineer, Google Cloud
Relevant Government Agencies
DOD & Military, Other Federal Agencies, Federal Government, State & Local Government
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Tue, Oct 29, 2019, 2:00pm - 3:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Organizer
Google Gov Team at Carahsoft Tech Corp
