Embedding Privacy by Design in The Lean Startup

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Foreword This paper is a well thought out response to those who believe that privacy is a barrier to innovation – the exact opposite is true! It supports what I have been saying for some time now — privacy breeds innovation and prosperity. Incorporating privacy early on in the design and development process, taking a user-centric approach to risk management and integrating privacy throughout the lifecycle of the personal information can provide a competitive advantage to any startup’s agile development process. The paper demonstrates how Privacy by Design and The Lean Startup method can be integrated seamlessly. The value proposition […]

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Cavoukian’s Privacy Outlook for 2019: Positive Trends and Ongoing Challenges

Source: GPS by Design

As we approach 2019, Dr. Ann Cavoukian reflected back on the passing year to discuss some of the biggest privacy stories and concerns. When asked by Adrienne Batra, editor-in-chief of the Toronto Sun about the outlook of privacy for the New Year, Dr. Cavoukian mentioned that protection of privacy will get better. However, we should be cognizant of privacy concerns with respect to political parties, Statistics Canada’s acquisition for personal data, as well as the notion of Smart Cities. With the New Year comes a federal election for which privacy remains a hot topic. “When the privacy commissioner requested that […]

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New Verdict: Stats Can. is Suspending the Acquisition of Personal Data

Source: GPS by Design

Earlier this week Dr. Ann Cavoukian, Distinguished Expert-in-Residence and founder of the Privacy by Design Centre of Excellence spoke to 580 CRA Radio on the latest verdict of Statistics Canada suspending its acquisition of personal data. After several weeks of debate and discussion, followed by surveys, approximately 74% of Canadians boldly stated that they did not feel comfortable providing access to sensitive personal information. The initial proposal put forward by Statistics Canada was to gather financial data from 500,000 households and to de-identify the data later. This translates to acquiring personal financial information such as credit card statements, purchases, loans […]

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