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Course Outline
Introduction to Data Sovereignty
- Distinguishing between data sovereignty, data residency, and data localization
- Historical context and the evolution of the data sovereignty concept
- The significance of data sovereignty for enterprises today
- Global trends in data sovereignty legislation
Major Data Sovereignty Frameworks
- Privacy laws that dictate where data must be stored
- Regulations that restrict the movement of data across borders
- Laws that permit government access to data held in foreign jurisdictions
- Industry-specific data regulations (e.g., finance, healthcare)
Risk Assessment and Compliance
- Mapping data flows across different jurisdictions for government and private sector entities
- Identifying sensitive and regulated data types for compliance purposes
- Evaluating risks associated with third-party and cloud service providers
- Methodologies for conducting a compliance gap analysis
Cloud and Infrastructure Considerations
- Regional cloud deployments and data center strategies
- Hybrid cloud approaches to ensure data sovereignty for government operations
- Multi-cloud strategies and the risks of vendor lock-in
- Ensuring that contractual agreements include provisions for data sovereignty
Governance and Strategy
- Developing a comprehensive data sovereignty governance framework for government agencies
- Defining roles and responsibilities for ensuring compliance with data sovereignty requirements
- Implementing data classification and handling policies to protect sensitive information
- Preparing incident response plans for multi-jurisdictional environments
Cross-Border Data Transfers
- Standard Contractual Clauses (SCCs) and their application in cross-border data transfers for government entities
- Adequacy decisions and their limitations in ensuring data protection
- Binding Corporate Rules (BCRs) as a mechanism for ensuring consistent data protection practices
- Emerging transfer mechanisms and their potential impact on data sovereignty
Future Trends and Considerations
- The implications of AI and machine learning on data sovereignty for government operations
- The role of blockchain and distributed ledger technology in enhancing data sovereignty
- Anticipating and preparing for future regulatory changes in data sovereignty laws
Summary and Next Steps
Requirements
- A foundational knowledge of data management principles
- An understanding of IT infrastructure and the fundamentals of cloud computing
- Experience in roles related to compliance, legal matters, or IT governance
Audience for Government
- Chief Data Officers and Chief Information Officers
- Compliance Officers and Legal Counsel
- IT Directors and Security Managers
- Enterprise Architects and Data Protection Officers
14 Hours
Testimonials (4)
The trainer was helpful..
Attila - Lifial
Course - Compliance and the Management of Compliance Risk
learning about Basel
Daksha Vallabh - Standard Bank of SA Ltd
Course - Basel III – Certified Basel Professional
Speed of response and communication
Bader Bin rubayan - Lean Business Services
Course - ISO/IEC 27001 Lead Implementer
Risk optimization is more clear than the other subjects