Length: 2 Days
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Introduction to Privacy Impact Assessments (PIA) Workshop by Tonex

Data Privacy and Compliance Training by Tonex

This workshop introduces participants to Privacy Impact Assessments (PIAs), a process used to evaluate the impact of projects on individual privacy. The course covers the methodologies, legal requirements, and practical steps to conduct effective PIAs.

Learning Objectives:

  • Understand the importance and purpose of PIAs.
  • Learn the legal and regulatory framework surrounding PIAs.
  • Explore the methodology and steps involved in conducting a PIA.
  • Gain insight into privacy risks and mitigation strategies.
  • Analyze case studies of PIAs in different contexts.
  • Develop practical skills in conducting and reporting PIAs.

Audience:

  • Privacy officers and data protection professionals
  • Compliance and risk management officers
  • IT and information security professionals
  • Legal and regulatory advisors
  • Project managers and business analysts

Program Modules:

Module 1: Introduction to Privacy Impact Assessments

  • Definition and purpose of PIAs
  • Historical development and significance
  • Key principles and concepts
  • Scope and applicability of PIAs
  • Stakeholders involved in PIAs
  • Overview of international privacy laws and standards

Module 2: Legal and Regulatory Framework

  • Privacy regulations and compliance requirements
  • Data protection laws (e.g., GDPR, CCPA)
  • Privacy by design and by default
  • Regulatory guidelines and best practices
  • Legal implications of PIAs
  • Case studies of regulatory enforcement actions

Module 3: PIA Methodology and Process

  • Steps involved in conducting a PIA
  • Identifying and assessing privacy risks
  • Data flow mapping and analysis
  • Privacy impact assessment templates and tools
  • Stakeholder engagement and consultation
  • Documentation and reporting requirements

Module 4: Privacy Risks and Mitigation Strategies

  • Types of privacy risks (e.g., data breaches, unauthorized access)
  • Risk assessment techniques
  • Mitigation measures and controls
  • Data minimization and anonymization
  • Incident response planning
  • Continuous monitoring and review

Module 5: Case Studies and Practical Applications

  • Analysis of real-world PIA examples
  • Lessons learned from successful and unsuccessful PIAs
  • Sector-specific PIA considerations (e.g., healthcare, finance)
  • Practical exercises and simulations
  • Developing a privacy-aware organizational culture
  • Reporting and communicating PIA findings

Module 6: Future Trends and Challenges

  • Emerging privacy technologies and their impact on PIAs
  • The role of artificial intelligence and machine learning in privacy
  • Global trends in privacy regulation
  • Challenges in conducting PIAs for new technologies
  • Future directions for privacy impact assessment methodologies
  • Preparing for evolving privacy threats

 

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