Book : The Architecture Of Privacy On Engineering...

Modelo 91904011
Fabricante o sello OReilly Media
Peso 0.33 Kg.
Precio:   $75,819.00
Si compra hoy, este producto se despachara y/o entregara entre el 10-06-2025 y el 18-06-2025
Descripción
-Titulo Original : The Architecture Of Privacy On Engineering Technologies That Can Deliver Trustworthy Safeguards

-Fabricante :

OReilly Media

-Descripcion Original:

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. 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 About the Author 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. Ari Gesher is a technologist and software generalist who has split his career between systems engineering, software engineering. In his 17 year career, he’s worked at a number of startups, was the maintainer of the SourceForge open source software repository before the word ‘github’ even existed, and landed at Palantir as an very early engineer in 2006 (after dropping out of his undergrad education at University of Illinois for a second time). At Palantir, Ari started working on backend systems. His first feature was implementing the metadata tagging for Palantir’s platforms that are the foundation of all privacy-protective access controls. In his time at Palantir, he’s worked on both Palantir’s Philanthropic Engineering Team and the Privacy & Civil Liberties Team, as well as overseeing Palantir’s Open Source efforts. Today, when he gets a chance to code, he’s busy re-inventing himself in the UX domain, working as a rapid prototyper for Palantir’s Product Design team.An actor, improv-comedian, and seasoned public speaker, Ari has branched out into speaking on and writing about all manner of technical topics - especially in the sphere of ‘big data’ and the limits of automated decision-making. He excels at decoding complex technical topics in to a digestible form, drawing on a love of the history of computing as the lens through which to view the future. Ari has been featured at O’Reilly’s Strata
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