Nishant Bhajaria

Privacy Engineering

• Broschiertes Buch

Produktbeschreibung

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 board Privacy Engineering teaches you to implement technical privacy solutions and tools at scale. You'll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen the privacy programs at Google, Netflix, and Uber. You'll find technical methods that can be instantly applied to almost any system, and improve your user privacy without spiraling time and resource costs.

Produktdetails

• Verlag: Manning Publications
• Seitenzahl: 365
• Erscheinungstermin: 16. März 2022
• Englisch
• Abmessung: 231mm x 191mm x 23mm
• Gewicht: 712g
• ISBN-13: 9781617298998
• ISBN-10: 1617298999
• Artikelnr.: 62075541

Autorenporträt

Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. He heads a large team that includes data scientists, engineers, privacy experts and others as they seek to improve data privacy for the customers and the company. His role has significant levels of cross-functional visibility and impact. Previously he worked in compliance, data protection, security, and privacy at Google. He was also the head of privacy engineering at Netflix. He is a well-known expert in the field of data privacy, has developed numerous courses on the topic, and has spoken extensively at conferences and podcasts.