Privacy Engineering is a discrete discipline or field of inquiry and innovation may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized processing of personal information.

We will take the audience through developing privacy policy to system design and implementation to QA testing and privacy impact assessment and finally throughout a discussion of the business value of privacy.

We will introduce as a Case Study how privacy-oriented companies have analyzed their successful approach. We show how use cases. UML modeling, metadata management, data governance and stewardship, altogether produce a privacy management program necessary for all global enterprises. This presentation will be based upon a soon to be published book - The Privacy Engineer’s Manifesto: Getting from Policy to Code to QA to Value by Michelle Finneran Dennedy, Thomas R Finneran, and Jonathan Fox. It is the first book of its kind, offering lucid assessment of the challenges and opportunities raised with the emerging personal information age, requiring powerful privacy protection, and most crucially, industry-proven solutions that go beyond mere theory.

The book covers person-centric privacy concepts, privacy engineering tools, and organizational suggestions for implementing a privacy engineering program.