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Certified Data Privacy Solutions Engineer

Modern privacy laws and regulations require organizations to implement privacy by design and by default into IT systems, networks, and applications. To do so, privacy professionals must partner with software developers, system and network engineers, application and database administrators, and project managers to build data privacy and protection measures into new and existing technology environments.

Learn how to create privacy solutions and be responsible for your business' privacy strategies to support its unimpeached growth. Build a common understanding of best practice thoughout your organisation. Learn how to implement:

  • Privacy Impact Assessment
  • Strategies against threats, attacks and vulnerabilities related to privacy - including encryption, hashing and de-identification
  • Data Inventory and classification

CDPSE is the first experience-based, technical certification of its kind. It assesses a technology professional’s ability to implement privacy by design which results in privacy technology platforms and products that build trust and advance data privacy.

CDPSE also assesses a data analyst/data scientist’s ability to manage the data lifecycle and advise technologists on privacy compliance and best data practices. CDPSE enables data scientists and privacy technologists with a common language and data science methodologies to improve the end user experience while preserving privacy and retaining trust.

Target Audience

IT professionals engaged in creating and implementing technical privacy solutions and data scientists/analysts who mine and analyze data for customer insights.

Select specific date to see price, venue and full details.

Learning 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.

Pre-Requisites

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

Exams & Certification

Recommended as preparation for the following exam:

  • CPDSE - Certified Data Privacy Solutions Engineer

 

Eligibility is established at the time of exam registration and is good for twelve (12) months (365 days). Exam registration and payment are required before you can schedule and take an exam. You will forfeit your fees if you do not schedule and take the exam during your 12-month eligibility period. No eligibility deferrals or extensions are allowed.

Please note that the exam is not included with this course and delegates must book this directly with ISACA.  Further information on the exam can be found here: https://www.isaca.org/credentialing/certified-data-privacy-solutions-engineer

 

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