Which of the following scenarios best demonstrates the pbd principles privacy as the default

Article 25 of the GDPR is titled “Data Protection by Design and by Default.” The language in the GDPR itself is somewhat ambiguous about what these concepts mean and equally important, how to comply. Those terms, however, originate from the principles of “ privacy by design” and “ privacy by default,” which have a long history in data protection legislation and can shed important light on a data controller’s duties under GDPR. This issue of The eData Guide to GDPR will provide a brief history of the principles of “privacy by design” and “privacy by default,” an explanation of Article 25’s “Data Protection by Design and by Default” standards, and recommendations for compliance with the GDPR standard. History of “Privacy by Design” and “Privacy by Default” Shortly after the GDPR was enacted on May 25, 2018, the European Data Protection Supervisor (EDPS) issued a preliminary opinion on “privacy by design.” According to the EDPS opinion, the terms “privacy by design” and “privacy by default” were developed in the 1990s by Dr. Ann Cavoukian, the Information and Privacy Commissioner of Ontario, Canada. Privacy by Design: The 7 Foundational Principles,” in which she states that “privacy by design” means that companies must proactively consider privacy “throughout the entire data lifecycle,” starting from the beginning of the design phase. According to these principles, this protection can and should be imposed without diminishing the functionality of the business or system. “Priv...

Privacy by Design Documentation for Software Engineers Version 1.0 Committee Specification Draft 01 25 June 2014 Specification URIs This version: (Authoritative) Previous version: N/A Latest version: (Authoritative) Technical Committee: Chairs: Ann Cavoukian ( Dawn Jutla ( Editors: Ann Cavoukian ( Fred Carter ( Dawn Jutla ( John Sabo ( Frank Dawson ( Jonathan Fox ( Tom Finneran ( Sander Fieten ( Related work: This specification is related to: · Annex Guide to Privacy by Design Documentation for Software Engineers Version 1.0. Edited by Ann Cavoukian, Fred Carter, Dawn Jutla, John Sabo, Frank Dawson, Sander Fieten, Jonathan Fox, and Tom Finneran. Latest version: · Privacy Management Reference Model and Methodology (PMRM) Version 1.0. Edited by Peter Brown, Gershon Janssen, Dawn N Jutla, John Sabo, and Michael Willett. 03 July 2013. Committee Specification 01. Abstract: This specification for software engineers translates the seven Privacy by Design (PbD) principles to conformance requirements for documentation, either produced or referenced, that organizations may use to demonstrate that privacy was considered at each stage of the software development life cycle. Status: This document was last revised or approved by the OASIS Privacy by Design Documentation for Software Engineers (PbD-SE) TC on the above date. The level of approval is also listed above. Check the “Latest version” location noted above for possible later revisions of this document. Technical Committee members...

Q11 or 14 Which of the following scenarios best demonstrate the PbD Principle: 'Privacy as the default? H Making Privacy notice and choices exercised, accessible to a user for ready reference A website that has the check-box - 'share my data for tele-marketing' option unchecked by default Providing multi-factor authentication for logging into an app While screen designing, using a drop-down item list instead of providing a free text boxes in the webform. Q12 of 14 Scenario: For a health-care client, you are designing & developing a platform that caters to comprehensive medical care where patient data will be hosted on client's cloud service provider. The platform allows patients to avail health services from doctors associated with one or more of registered hospitals, including online diagnostic services and home-delivery of medicines Question: Which of the following PIl collected by the platform is likely to be optional for providing medical services? Age Mobile number or email address Unique identity, such as National Identity information Medical prescription

• A. Develop a technical privacy framework that integrates with the development lifecycle. • B. Utilize Privacy Enhancing Technologies (PETs) as a part of product risk assessment and management. • C. Identify the privacy requirements as a part of the Privacy Impact Assessment (PIA) process during development and evaluation stages. • D. Develop training programs that aid the developers in understanding how to turn privacy requirements into actionable code and design level specifications.

PII, or personally identifiable information, is sensitive data that could be used to identify, contact, or locate an individual. Education and Employment history, Government identifiers such as passports can have your personal information. Even websites cookies placed on your laptop can have information like passwords, email IDs or other login informations etc. Q2 of 14 Which of the following is not an example of PII: O Education and employment history Your browsing history from a hotel lobby computer which doesn't verify your identity or room number O Website Cookies placed on your laptop Government Identifiers such as Tax ID number or passport Q4 of 14 Which among the following is not a privacy harm? O Behavioral profiling O An employee's copyright violation O Intrusion into seclusion O Identity theft Q6 of 14 Data Privacy may not be applicable in which of the following scenarios? An app targeted at children for entertainment O A platform developed purely for knowledge exchange with no motive of financial incentive A platform being hosted in a country with no DP laws but targeted at data subjects from a country with stringent DP laws A website for disseminating knowledge and that allows anonymous access Q7 of 14 Measures providing appropriate security, and not necessarily the maximum security that is possible, is required to be generally deployed to protect the confidentiality and integrity of personal data? True False Q10 of 14 You are developing an application that req...

Privacy professionals generally understand, at least conceptually, what it means to implement privacy by design. If further guidance is needed, we can look to the NIST Privacy Framework or ISO 27701. If we want to better anticipate regulator expectations around PbD, we can refer to the European Data Protection Board Data Protection by Design and by Default Guidelines or U.K. Information Commissioner's Office guidance, among other resources. We can even go back to the original seven foundational PbD principles pioneered by Ann Cavoukian if we need a refresher on core PbD concepts. And if you search for "privacy by design implementation," you'll encounter a deluge of material from consulting firms and privacy tool vendors that tell you to "bake in" privacy controls or that provide high-level commentary on the EU General Data Protection Regulation's Article 25 (if you provide your email address, of course). But where do you actually begin? While it may be obvious that privacy controls should be embedded into new products, features and processes that collect and use personal information, how do you get your product team to even consider such controls? How do you effectively evangelize the importance of PbD across the entire organization in a way that resonates across functions? And then how do you make your PbD processes self-sustaining? In other words, before you bake privacy controls into your products, how do you "bake" privacy into the organization? As a concept that busin...

• TC NAME OASIS Privacy by Design Documentation for Software Engineers Technical Committee (PbD-SE) • STATEMENT OF PURPOSE The purpose of the OASIS Privacy by Design Documentation for Software Engineers (PbD-SE) is to provide privacy governance and documentation standards for software engineers. The main objective of the PbD-SE will be to facilitate privacy governance processes in organizations that conduct software development. This will be achieved by developing documentation standards that address privacy governance for software engineers. Such documentation will serve to guide software organizations interested in embedding privacy into the design and architecture of IT systems, without diminishing system functionality. The protection of privacy in the context of software design requires normative judgements to be made on the part of software engineers. It has become increasingly apparent that software systems need to be complemented by a set of governance norms that reflect broader privacy dimensions. The complex and rapid nature of technological change implies that privacy must ideally become embedded, as the default mode of design and operation, into software design. This is the central motivation of PbD which is proactive in nature and aimed at preventing the privacy harm from arising in the first place. PbD prescribes that privacy be built directly into the design and operation, not only of technology, but also of operational systems, work processes, management str...