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Course Outline

AI Security Governance Foundations for Government

  • Core principles of AI governance for government operations
  • Enterprise security frameworks tailored for AI in the public sector
  • Stakeholder roles and responsibilities within government agencies

AI Risk Assessment Methodologies for Government

  • Identifying and categorizing AI security risks specific to government systems
  • Threat modeling for AI-enabled systems in public sector environments
  • Impact assessment and prioritization of risks for government operations

Secure AI System Design for Government

  • Designing AI systems to ensure confidentiality, integrity, and availability in government applications
  • Implementing security controls within AI pipelines for government use
  • Model lifecycle management considerations for government agencies

AI Data Protection and Privacy for Government

  • Data governance practices for machine learning in government contexts
  • Managing sensitive and regulated data in government AI systems
  • Privacy-enhancing technologies for government applications

Monitoring and Securing AI Operations for Government

  • Continuous evaluation of AI behavior in government operations
  • Detecting drift, anomalies, and misuse in government AI systems
  • Operational threat intelligence for securing AI systems in the public sector

Regulatory and Compliance Alignment for Government

  • Global standards impacting AI security in government agencies
  • Documentation and audit readiness for government compliance
  • Aligning governance practices with legal obligations for government operations

Incident Response for AI Systems in Government

  • AI-specific attack vectors and indicators relevant to government systems
  • Response workflows for compromised models in government environments
  • Post-incident review and remediation processes for government agencies

Strategic AI Security Management for Government

  • Building long-term AI security capabilities within government organizations
  • Integrating AI risk management into enterprise strategy for government operations
  • Maturity assessments and continuous improvement initiatives for government AI security

Summary and Next Steps for Government

Requirements

  • An understanding of cybersecurity risk management principles
  • Experience with artificial intelligence (AI) or data-driven systems
  • Familiarity with enterprise security governance frameworks

Audience

  • Security managers overseeing AI initiatives for government and private sector organizations
  • Governance and risk professionals responsible for ensuring compliance and mitigating risks
  • Technical leaders tasked with the secure adoption of AI technologies for government operations
 21 Hours

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