Course overview

This course is designed to equip professionals with the knowledge and practical skills needed to implement the Protection of Personal Information Act (POPIA) within their organizations. It provides a structured framework to translate POPIA's legal requirements into actionable, operational steps. Participants will explore the 11 key assurance objectives that form the backbone of compliance, learning how to embed data protection into day-to-day operations across various activities, including standard operations, marketing, handling sensitive information, and AI-driven processes.

Course objectives

Participants will obtain an understanding of:

• Understand POPIA’s Core Principles: Articulate the purpose and scope of POPIA, including its eight conditions for lawful processing, and its alignment with Section 14 of the South African Constitution.
• Navigate Legal Intersections: Analyze how POPIA interacts with other legislation, such as PAIA, FICA, RICA, COIDA, and Cybercrimes Act, to ensure comprehensive compliance.
• Apply Practical Compliance Measures: Develop and implement POPIA-compliant policies, including privacy notices, consent mechanisms, and breach response plans.
• Balance Privacy and Transparency: Manage data subject rights and access requests while adhering to both POPIA and PAIA requirements.
• Mitigate Risks and Ensure Accountability: Establish governance structures, appoint information officers, and leverage tools like codes of conduct and binding corporate rules to enhance compliance.
• Respond to Enforcement Actions: Understand the Information Regulator’s enforcement mechanisms, including settlements, investigations, and penalties, and learn how to mitigate risks through proactive measures.

Course outline

Module 1: Introduction to POPIA and the Compliance Management Framework

• Overview of POPIA and its significance in data protection.
• Introduction to the POPIA Compliance Management System (PCMS) as a continuous cycle of development, implementation, monitoring, and maintenance.
• Understanding the role of the 11 key assurance objectives as operational pillars for compliance.

Module 2: Exploring the 11 Key Assurance Objectives

• Demonstrating compliance through due diligence and documentation (Section 8).
• Ensuring a legal basis for all data processing and preventing unfair or biased outcomes (Sections 9, 11, 71).
• Collecting and processing only essential personal information to reduce risk (Sections 10, 13, 14).
• Preventing unauthorized linking of data across purposes (Sections 13, 15).
• Securing personal information against tampering, unauthorized access, and ensuring accessibility for legitimate use (Section 19).
• Providing clear information to data subjects about data usage (Sections 17, 18).
• Enabling individuals to exercise their rights, such as access, correction, and objection (Sections 23–25, 71).
• Building robust systems to withstand and recover from incidents (Section 19).
• Ensuring human oversight in automated decision-making processes, particularly AI (Section 71).

Module 3: Applying the Objectives in Practice

• Case Study: Using personal information for marketing.
  • Managing consent and opt-out processes (Section 69).
  • Implementing data minimization in marketing campaigns.
• Case Study: Handling sensitive data (e.g., health records, children’s information).
  • Applying strict confidentiality measures, such as encryption and role-based access (Sections 27, 35).
  • Using pseudonymization and anonymization techniques.
• Case Study: AI-driven processing (e.g., job applicant screening, credit scoring).
  • Mitigating algorithmic bias through testing and fairness-aware techniques.
  • Ensuring transparency and intervenability with explainable AI tools (Section 71).

Module 4: Risk-Based Approach and Documentation

• Conducting Personal Information Impact Assessments (PIAs) to identify and mitigate risks.
• Maintaining detailed records of processing activities and audit logs (Section 17).
• Building a culture of accountability through continuous documentation and policy updates.

Module 5: Adapting to Technological Advancements

• Addressing the evolving risks of AI and complex data processing.
• Ensuring ongoing compliance through dynamic application of the POPIA compliance management framework.
• Strategies for continuous monitoring, staff training, and system resilience to safeguard individual rights in a rapidly changing digital landscape.