Training Objectives

By the end of the programme participants will be able to:

• Protect business information by applying critical privacy concepts and practices that impact technology
• Use technology to design data privacy into products and services
• Establish privacy practices for data security and control, such as minimization, limited access and encryption
• Factor privacy into data classification and emerging technology, such as cloud computing, facial recognition and surveillance
• Communicate and collaborate on privacy issues with management, development, marketing and legal departments.
• Understand consumer privacy expectations and best practices, while proactively addressing privacy issues with the Internet of Things

Training Outline

Module 1: Foundational principles of privacy in technology

Summarizes the foundational elements for embedding privacy in technology, through privacy by design and value sensitive design; reviews the data life cycle and common privacy risk models and frameworks

Module 2: The role of the technology professional in privacy

Reviews the fundamentals of privacy as they relate to the privacy technologist; describes the privacy technologist’s role in ensuring compliance with privacy requirements and meeting stakeholder privacy expectations; explores the relationship between privacy and security

Module 3: Privacy threats and violations

Identifies inherent risks throughout the stages of the data life cycle and explores how software security helps mitigate privacy threats; examines the impacts that behavioural advertising, cyberbullying and social engineering have on privacy within the technological environment

Module 4: Technical measures and privacy-enhancing technologies

Outlines the strategies and techniques for enhancing privacy throughout the data life cycle, including, identity and access management; authentication, encryption, and aggregation; collection and use of personal information

Module 5: Privacy engineering

Explores the role of privacy engineering within an organization, including the objectives of privacy engineering, privacy design patterns, and software privacy risks

Module 6: Privacy-by-design methodology

Illustrates the process and methodology of the privacy-by-design model; explores practices to ensure ongoing vigilance when implementing privacy by design

Module 7: Technology challenges for privacy

Examines the unique challenges that come from online privacy issues, including automated decision making, tracking and surveillance technologies, anthropomorphism, ubiquitous computing and mobile social computing

Training Style

The training style will include the presentation of all the material using slides and handouts.  The trainer will use practical examples to elaborate various concepts as well as show various videos that highlight particular course concepts and encourage class discussion.

Participants will engage in the exchange of ideas and sharing of knowledge on the subject matter.  Participants will also be able to ask questions and obtain clarifications from the trainer on all the material covered.

CPD Recognition

This programme may be approved for up to 14 CPD units in GDPR, Data Protection and Privacy Management. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.

Who Should Attend

• Data Scientists/Analysts/Architects
• IT Managers and Administrators
• Records Managers
• System Developers
• Software Engineers/Designers
• Privacy Engineers/Developers
• System Administrators
• UX Designers
• Cybersecurity Professionals

Exam Details

• 90 Multiple choice Questions
• 2.5 hours
• Computer-based
• Exam Cost: €450