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

This event has no exhibitor/sponsor opportunities

Tue, Oct 29, 2019, 2:00pm - 3:00pm ET

Complimentary:    $ 0.00

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Google Gov Team at Carahsoft Tech Corp

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