Technology’s influence on privacy not only concerns consumers, political leaders, and advocacy groups, but also the software architects who design new products. In this practical guide, experts in data analytics, software engineering, security, and privacy policy describe how software teams can make privacy-protective features a core part of product functionality, rather than add them late in the development process.
Ideal for software engineers new to privacy, this book helps you examine privacy-protective information management architectures and their foundational components—building blocks that you can combine in many ways. Policymakers, academics, students, and advocates unfamiliar with the technical terrain will learn how these tools can help drive policies to maximize privacy protection.
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Courtney Bowman has been working in the data analytics space for the last decade. After earning degrees in Physics and Philosophy at Stanford University, Courtney spent several years at Google working on quantitative analytics, auction design, and pricing strategy, where he developed a strong understanding of the intricacies of data analytics algorithmic implementation and the attendant privacy challenges.
Drawing on that background and an appreciation of the need for value-oriented approaches to systems architecture and design in order to ensure privacy protections, Courtney joined Palantir Technologies in 2010 as an in-house Privacy and Civil Liberties specialists. Within that role, he has developed extensive experience working with local and federal government agencies (including law enforcement, criminal justice, health and social services) to develop technology-driven solutions to information sharing and inter-agency cooperation in a manner that respects applicable privacy, security, and data integrity requirements. Courtney is an avid distance runner and cyclist. He resides in New York City with his increasingly unwieldy library of German literature and philosophy.
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Taschenbuch. Zustand: Neu. Neuware - Technology's influence on privacy not only concerns consumers, political leaders, and advocacy groups, but also the software architects who design new products. In this practical guide, experts in data analytics, software engineering, security, and privacy policy describe how software teams can make privacy-protective features a core part of product functionality, rather than add them late in the development process.Ideal for software engineers new to privacy, this book helps you examine privacy-protective information management architectures and their foundational componentsbuilding blocks that you can combine in many ways. Policymakers, academics, students, and advocates unfamiliar with the technical terrain will learn how these tools can help drive policies to maximize privacy protection.- Restrict access to data through a variety of application-level controls- Use security architectures to avoid creating a single point of trust in your systems- Explore federated architectures that let users retrieve and view data without compromising data security- Maintain and analyze audit logs as part of comprehensive system oversight- Examine case studies to learn how these building blocks help solve real problems- Understand the role and responsibilities of a Privacy Engineer for maintaining your privacy architecture. Artikel-Nr. 9781491904015
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