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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
Testimonials (3)
The profesional knolage and the way how he presented it before us
Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems
The way to receive the information from the trainer
Mohamed Romdhani - Shams Power
Course - CISM - Certified Information Security Manager
Overview of Risk topics and preparing for exam