CERTIFIED DATA PRIVACY SOLUTIONS ENGINEER (CDPSE) is focused on validating the technical skills and knowledge it takes to assess, build and implement a comprehensive privacy solutions.
Course overview:
CDPSE holders can fill the technical privacy skills gap so that your organization has competent privacy technologists to build and implement solutions that mitigate risk and enhance efficiency.
• Continuing Professional Education (CPE): 15,5
• Practice questions (QAE = Questions, Answers and Explanations) : 12 month access
Course objectives:
After completing this course you should be able to:
• Build and Implement Privacy Solutions
• Manage the data lifecycle and advise technologists on privacy compliance
• Implement privacy by design which results in privacy technology platforms and products that build trust and advance data privacy.
• Ensure that privacy solutions match the organization's risk appetite and mitigate risks of noncompliance
• Improve the end user experience while preserving privacy and retaining trust.
COURSE PREREQUISITES:
Attendees should meet the following prerequisites:
• 5 years' work experience performing the work described within the exam content outline or 3 years work experience if you have achieved CISM, CISA,CGEIT,CRISC, CSX-P or FIP
• Experience in at least 2 of the exam domains – Privacy Governance, Privacy Architecture, Data Cycle.
Course content:
Domain 1: Privacy Governance
Section A: Governance
• Module 1: Personal Data and Information
• Module 2: Privacy Laws and Standards across Jurisdictions
• Module 3: Privacy Documentation (e.g., Policies, Guidelines)
• Module 4: Legal Purpose, Consent, and Legitimate Interest
• Module 5: Data Subject Rights
Section B: Management
• Module 1: Roles and Responsibilities related to Data
• Module 2: Privacy Training and Awareness
• Module 3: Vendor and Third-Party Management
• Module 4: Audit Process
• Module 5: Privacy Incident Management
Section C: Risk Management
• Module 1: Risk Management Process
• Module 2: Privacy Impact Assessment (PIA)
• Module 3: Threats, Attacks, and Vulnerabilities related to Privacy
Domain 2: Privacy Architecture
Section A: Infrastructure
• Module 1: Technology Stacks
• Module 2: Cloud-based Services
• Module 3: Endpoints
• Module 4: Remote Access
• Module 5: System Hardening
Section B: Applications and Software
• Module 1: Secure Development Lifecycle (e.g., Privacy by Design)
• Module 2: Applications and Software Hardening
• Module 3: APIs and Services
• Module 4: Tracking Technologies
Section C: Technical Privacy Controls
• Module 1: Communication and Transport Protocols
• Module 2: Encryption, Hashing, and De-identification
• Module 3: Key Management
• Module 4: Monitoring and Logging
• Module 5: Identity and Access Management
Domain 3: Data Cycle
Section A: Data Purpose
• Module 1: Data Inventory and Classification (e.g., Tagging, Tracking, SOR)
• Module 2: Data Quality and Accuracy
• Module 3: Dataflow and Usage Diagrams
• Module 4: Data Use Limitation
• Module 5: Data Analytics (e.g., Aggregation, AI, Machine Learning, Big Data)
Section B: Data Persistence
• Module 1: Data Minimisation (e.g., De-identification, Anonymisation)
• Module 2: Data Migration
• Module 3: Data Storage
• Module 4: Data Warehousing (e.g., Data Lake)
• Module 5: Data Retention and Archiving
• Module 6: Data Destruction
Target audience:
IT professionals engaged in creating and implementing technical privacy solutions and data scientists/analysts who mine and analyze data for customer insights.