Data Privacy 101

Provides foundational knowledge about why data privacy is essential for individuals and organizations. Learners will define personal data, understand what it means to protect it, examine factors that influence responsible data use, and explore how privacy differs from—but relates closely to—security.

Recommended Use: Required
ID (Language): 22258 (English)
Author(s): Katrina Destrée, FIP, CIPM, CIPP/E, MALD

Discusses key privacy laws, regulations, standards, and internal policies that shape compliance expectations. This module highlights why legal compliance matters and how organizations can manage exposure and risk through alignment with applicable requirements.

Recommended Use: Required
ID (Language): 22259 (English)
Author(s): Katrina Destrée, FIP, CIPM, CIPP/E, MALD

Introduces core privacy principles that guide responsible handling of personal data. Learners will explore how these principles apply across business activities and how adopting a privacy mindset can support ethical and compliant behavior, even for those who are not privacy specialists.

Recommended Use: Required
ID (Language): 22260 (English)
Author(s): Katrina Destrée, FIP, CIPM, CIPP/E, MALD

Examines the concept of Privacy by Design and why integrating privacy into organizational practices is critical. The module emphasizes embedding privacy considerations early in planning and design processes.

Recommended Use: Required
ID (Language): 22261 (English)
Author(s): Katrina Destrée, FIP, CIPM, CIPP/E, MALD

Focuses on practical strategies for safeguarding data, including controls that uphold confidentiality, integrity, and availability. Learners will consider risks and benefits associated with artificial intelligence (AI), reflect on responsible AI practices, and review real-world examples where improper AI use caused privacy harm.

Recommended Use: Required
ID (Language): 22262 (English)
Author(s): Katrina Destrée, FIP, CIPM, CIPP/E, MALD