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Privacy Engineering

Bag om Privacy Engineering

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Privacy Engineering youwill learn how to:Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and boardPrivacy Engineering teaches you to implement technical privacy solutions and tools at scale. Youll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen the privacy programs at Google, Netflix, and Uber. Youll find technical methods that can be instantly applied to almost any system, and improve your user privacy without spiraling time and resource costs.

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  • Sprog:
  • Ukendt
  • ISBN:
  • 9781617298998
  • Indbinding:
  • Paperback
  • Sideantal:
  • 365
  • Udgivet:
  • 16. marts 2022
  • Størrelse:
  • 234x187x28 mm.
  • Vægt:
  • 712 g.
  • Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025

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- Adgang til 70.000+ titler
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Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Privacy Engineering

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.

In Privacy Engineering youwill learn how to:Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and boardPrivacy Engineering teaches you to implement technical privacy solutions and tools at scale. Youll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen the privacy programs at Google, Netflix, and Uber. Youll find technical methods that can be instantly applied to almost any system, and improve your user privacy without spiraling time and resource costs.

Brugerbedømmelser af Privacy Engineering



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