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. 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
TARGET AUDIENCE:
IT professionals engaged in creating and implementing technical privacy solutions and data scientists/analysts who mine and analyze data for customer insights.
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
COURSE OBJECTIVE:
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.
FOLLOW ON COURSES:
Not available. Please contact.