This course aims to teach learners how to build privacy governance for a decentralized and innovative workplace to earn customer trust and competitive differentiation. The course covers executing privacy programs during data collection and sharing, measuring risks, tailoring security tools for privacy, and quantifying improvements. The teaching method involves a session led by an engineer and an attorney sharing experiences and lessons on engaging engineers, privacy/security specialists, and executive leadership. The intended audience for this course includes individuals interested in privacy architecture, data-driven innovation, and privacy governance in the workplace.
Overview
Syllabus
PEPR '20 - Privacy Architecture for Data-Driven Innovation Configure
Taught by
USENIX