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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

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