Course Outline
Day I
I. Selecting a Personal Data Protection Management Model
1. Prerequisites for an effective data protection system
2. Overview of existing data protection governance models
3. Defining roles and responsibilities in data protection processes
II. Duties and Responsibilities of the Data Protection Officer (DPO)
1. Requirements for mandatory appointment of a DPO
2. Optional appointment of an Inspector
3. Essential knowledge for the DPO role
4. Sources for acquiring necessary expertise
5. Qualifications required to act as an Inspector
6. Employment arrangements for the Supervisor
7. Continuous professional development for the DPO
8. Core tasks of the DPO
III. Data Flows
1. Key data flow information the DPO must understand
2. Competencies a DPO should demonstrate
3. Specific DPO responsibilities related to data flows
IV. Audit Preparation and Execution
1. Preliminary audit activities
2. Developing the audit plan
3. Forming the audit team and assigning tasks
4. Creating necessary working documents
5. The Audit Checklist
6. Case study: navigating the auditing process
V. Evaluating Compliance Levels
1. Key factors to consider:
2. Security of data processing
3. Legal bases for processing
4. The principle of consent
5. The principle of data minimization
6. The principle of transparency
7. Commissioning of processing activities
8. Transfers of data to third countries and international bodies
VI. Audit Reporting
1. Methods for preparing the audit report
2. Essential components of the Audit Report
3. Critical areas requiring special attention
4. Case study analysis
5. Collaborating with employees to build awareness
6. Verification of CPU warranty claims
VII. Sustaining Compliance
1. Employee awareness as a critical component
2. The Data Protection Policy
3. Essential documentation
4. Continuous monitoring mechanisms
Day II
VIII. Fundamentals of Risk Management
1. Structuring the risk assessment process
2. Specific risk assessment methodologies
3. Core components of a DPIA
IX. Analyzing the Context of Personal Data Processing
1. Exercises in contextual research
2. External context analysis
3. Internal context analysis
4. Common errors to avoid
X. Data Protection Impact Assessment (DPIA)
1. Objectives of conducting a DPIA
2. Mandatory vs. optional DPIA scenarios
3. Required process elements
4. Inventory of processing operations
5. Identifying processing resources, especially those with high risk
XI. Risk Analysis Practicals
1. Estimating the likelihood of hazards
2. Identifying vulnerabilities and current security measures
3. Assessing the effectiveness of controls
4. Evaluating potential consequences
5. Risk identification
6. Determining risk levels
7. Establishing risk acceptability thresholds
XII. Asset Identification and Security Exercises
1. Calculating process risk values for resources
2. Estimating hazard probability
3. Identifying vulnerabilities
4. Recognizing existing safeguards
5. Assessing potential outcomes
6. Risk identification
7. Defining risk acceptability thresholds
Requirements
Intended Audience
- Professionals currently serving as Data Protection Officers
- Individuals seeking to broaden their expertise in data protection
Testimonials (1)
The variety of the information shared and the clarity to explain terms in plain English.