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Data Privacy, Governance, and Compliance: How to Share Your Data with Privacy Controls

سرفصل های دوره

Companies that drive revenue and growth based on user engagement also face challenges sharing data. From re-identification to exfiltration to unmanaged access, data sharing presents several privacy risks. In this course, privacy and security executive Nishant Bhajaria helps data-driven innovators understand key technologies and players that are involved in the data sharing space. As part of a "shift left" governance strategy, find out how to perform a cost-benefit analysis around data sharing and its use cases. Learn to apply data-driven tests to measure privacy risks around data sharing. Explore ways to solve the privacy risks around data sharing at all levels: data, access, identity, transport, and storage. Contextualize data sharing in terms of user footprint digitally versus in real life. After this course, you will be able to enforce data protection policies throughout the data sharing process.


01 - Introduction
  • 01 - Welcome
  • 02 - Who this course is for
  • 03 - Data classification as part of data governance

  • 02 - 1. Data Sharing Risks and Possibilities
  • 01 - How data sharing works The ads use case
  • 02 - How data sharing can go wrong
  • 03 - Data sharing risks A case study
  • 04 - When data sharing should raise red flags
  • 05 - Valid reasons for data sharing

  • 03 - 2. Solving for Data Sharing
  • 01 - Techniques to minimize privacy risk
  • 02 - Anonymization concepts
  • 03 - Anonymization techniques
  • 04 - Encryption

  • 04 - 3. k-Anonymity and Data Sharing
  • 01 - What is k-anonymity
  • 02 - k-Anonymity A use case
  • 03 - k-Anonymity With very coarse data
  • 04 - k-Anonymity With very granular data
  • 05 - k-Anonymity Industry best practice

  • 05 - 4. l-Diversity
  • 01 - How l-diversity helps privacy
  • 02 - k-Anonymity vs. l-diversity

  • 06 - 5. The Challenge of Privacy Your Digital Fingerprint
  • 01 - Your physical fingerprint
  • 02 - Your digital fingerprint
  • 03 - The power of joining outside data

  • 07 - Conclusion
  • 01 - Next steps
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