Course Outline
Foundations of AI Security Governance
- Fundamental principles of AI governance
- Enterprise security frameworks applicable to AI
- Defining stakeholder roles and accountability
Methodologies for AI Risk Assessment
- Recognizing and classifying AI security threats
- Applying threat modeling to AI-enabled architectures
- Evaluating impact and prioritizing risks
Designing Secure AI Systems
- Ensuring confidentiality, integrity, and availability in design
- Embedding security controls into AI pipelines
- Considerations for model lifecycle management
AI Data Protection and Privacy
- Establishing data governance for machine learning
- Oversight of sensitive and regulated data sets
- Utilizing privacy-enhancing technologies
Monitoring and Securing AI Operations
- Continuous assessment of AI behavior
- Identifying drift, anomalies, and potential misuse
- Leveraging operational threat intelligence for AI
Regulatory and Compliance Alignment
- Global standards influencing AI security
- Maintaining documentation and audit readiness
- Aligning governance strategies with legal requirements
Incident Response for AI Systems
- Specific attack vectors and indicators for AI
- Workflows for responding to compromised models
- Conducting post-incident reviews and remediation
Strategic AI Security Management
- Developing long-term AI security capabilities
- Integrating AI risks into broader enterprise strategy
- Conducting maturity assessments and driving continuous improvement
Summary and Next Steps
Requirements
- Knowledge of cybersecurity risk management principles
- Hands-on experience with AI or data-centric systems
- Understanding of enterprise security governance frameworks
Target Audience
- Security managers supervising AI initiatives
- Professionals specializing in governance and risk management
- Technical leaders overseeing secure AI adoption strategies
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
