Course Outline
Foundations of AI Security Governance
- Essential principles underpinning AI governance
- Enterprise security frameworks applicable to AI
- Defining stakeholder roles and responsibilities
Methodologies for AI Risk Assessment
- Identifying and classifying AI security risks
- Conducting threat modeling for AI-enabled systems
- Evaluating impact and prioritizing risks
Designing Secure AI Systems
- Ensuring confidentiality, integrity, and availability in design
- Integrating security controls into AI pipelines
- Considerations for managing the model lifecycle
AI Data Protection and Privacy
- Data governance strategies for machine learning
- Handling sensitive and regulated data responsibly
- Utilizing privacy-enhancing technologies
Monitoring and Securing AI Operations
- Continuously evaluating AI behavior
- Identifying drift, anomalies, and potential misuse
- Applying operational threat intelligence to AI systems
Regulatory and Compliance Alignment
- Understanding global standards that affect AI security
- Preparing documentation for audits
- Aligning governance practices with legal obligations
Incident Response for AI Systems
- Recognizing AI-specific attack vectors and indicators
- Executing response workflows for compromised models
- Conducting post-incident reviews and remediation
Strategic AI Security Management
- Developing long-term AI security capabilities
- Integrating AI risk into broader enterprise strategy
- Performing maturity assessments and driving continuous improvement
Summary and Next Steps
Requirements
- A solid grasp of cybersecurity risk principles
- Practical experience with AI or data-driven systems
- Knowledge of enterprise security governance frameworks
Target Audience
- Security managers overseeing AI initiatives
- Governance and risk professionals
- Technical leaders tasked with ensuring secure AI adoption
Testimonials (3)
inventory and identifying the different risk exposures within AI
Gary Cook - Cybersecurity and Information Technology Risk Division
Course - Introduction to AI Trust, Risk, and Security Management (AI TRiSM)
I really enjoyed learning about AI attacks and the tools out there to begin practicing and actively using for security testing. I took a lot of knowledge away which I didn't have at the beginning and the course met what I hoped it would be. My favorite part shown from the training was Comet Browser and was amazed at what it could do. Definitely something will be looking into more. Overall it was a great course and enjoyed learning all OWASP GenAI Top 10.
Patrick Collins - Optum
Course - OWASP GenAI Security
The profesional knolage and the way how he presented it before us
