Course Outline

Foundations of AI Security Governance for Government

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

Methodologies for AI Risk Assessment for Government

  • Identifying and categorizing AI security risks within government systems
  • Threat modeling for AI-enabled systems in the public sector
  • Impact assessment and prioritization of risks for government agencies

Secure Design of AI Systems for Government

  • Designing AI systems to ensure confidentiality, integrity, and availability in government operations
  • Implementing security controls throughout the AI pipeline for government applications
  • Considerations for managing the model lifecycle in government AI projects

Data Protection and Privacy for Government AI

  • Data governance practices for machine learning in government agencies
  • Managing sensitive and regulated data in government AI systems
  • Utilizing privacy-enhancing technologies in government AI initiatives

Monitoring and Securing Government AI Operations

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

Regulatory and Compliance Alignment for Government AI

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

Incident Response for Government AI Systems

  • Identifying AI-specific attack vectors and indicators in government contexts
  • Developing response workflows for compromised models in government AI systems
  • Conducting post-incident reviews and remediation efforts for government AI incidents

Strategic Management of AI Security for Government

  • Building long-term AI security capabilities within government agencies
  • Integrating AI risk management into enterprise strategy for government operations
  • Conducting maturity assessments and fostering continuous improvement in government AI security

Summary and Next Steps for Government

Requirements

  • An understanding of cybersecurity risk principles for government
  • Experience with artificial intelligence or data-driven systems
  • Familiarity with enterprise security governance frameworks

Audience

  • Security managers overseeing AI initiatives within government agencies
  • Governance and risk professionals in the public sector
  • Technical leaders responsible for secure AI adoption for government operations
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (1)

The profesional knolage and the way how he presented it before us

Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems

Upcoming Courses

ISACA Advanced in AI Security Management (AAISM)

2026-02-23 09:30
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Detroit, MI - Renaissance Center
$ 4054 (Online)
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ISACA Advanced in AI Security Management (AAISM)

2026-03-09 09:30
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Baltimore, MD – Regus at Legg Mason Tower
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ISACA Advanced in AI Security Management (AAISM)

2026-03-23 09:30
21 hours
MN, Minneapolis - Fifth Street Towers
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ISACA Advanced in AI Security Management (AAISM)

2026-04-06 09:30
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Eagan, MN - Grand Oak I
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