Course Outline
Foundations of AI Security Governance
- Core principles underlying AI governance
- Enterprise security frameworks applicable to AI
- Defining stakeholder roles and responsibilities
Methodologies for AI Risk Assessment
- Identifying and categorising specific AI security risks
- Applying threat modelling techniques to AI-enabled systems
- Conducting impact assessments and prioritising risks
Secure Design of AI Systems
- Designing for confidentiality, integrity, and availability
- Integrating security controls into AI pipelines
- Considerations for managing the model lifecycle
Protection of AI Data and Privacy
- Establishing data governance for machine learning
- Managing sensitive and regulated datasets
- Utilising privacy-enhancing technologies
Monitoring and Securing AI Operations
- Continuously evaluating AI behaviour
- Detecting drift, anomalies, and potential misuse
- Applying operational threat intelligence to AI systems
Regulatory and Compliance Alignment
- Global standards influencing AI security
- Preparing documentation and audit readiness
- Aligning governance practices with legal obligations
Incident Response for AI Systems
- Identifying AI-specific attack vectors and indicators
- Developing response workflows for compromised models
- Conducting post-incident reviews and remediation
Strategic AI Security Management
- Building long-term AI security capabilities
- Integrating AI risk into broader enterprise strategy
- Conducting maturity assessments for continuous improvement
Summary and Next Steps
Requirements
- A solid grasp of cybersecurity risk principles
- Hands-on experience with AI or data-driven systems
- Knowledge of enterprise security governance practices
Target Audience
- Security managers overseeing AI initiatives
- Professionals in governance and risk management
- Technical leaders accountable for the secure adoption of AI
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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Testimonials (3)
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
Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems
Adaptation to the needs of the trainees in terms of time spent on each topic.
Ana - Administracao do Porto de Sines e do Algarve, S.A.
Course - CISM - Certified Information Security Manager
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