Generative AI – Risk and Cyber Security Masterclass 2025 Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to Generative AI Risks
Estimated time: 0.5 hours
- Overview of Generative AI and its attack surface in cybersecurity
- Understanding the expanding role of AI in digital threats
- Key threat categories: prompt injection, model abuse, and adversarial inputs
Module 2: Deepfakes, Phishing & Misinformation
Estimated time: 0.75 hours
- How GenAI tools can create deceptive content
- Real-world phishing and impersonation examples
- Detecting and defending against AI-generated misinformation
- Case studies of social engineering powered by Generative AI
Module 3: Threat Modeling for AI Systems
Estimated time: 1 hour
- Building threat models for GenAI applications
- Identifying vulnerabilities unique to AI systems
- Risk assessment tools and frameworks specific to AI
- Applying STRIDE or DREAD models to AI pipelines
Module 4: Secure GenAI Development Practices
Estimated time: 1 hour
- Coding and data practices to prevent model misuse
- Input validation and output filtering strategies
- Monitoring and alerting for anomalous AI behavior
- Securing APIs and integration points in AI workflows
Module 5: Governance, Compliance & Auditing
Estimated time: 0.75 hours
- Legal frameworks: GDPR, CCPA, and emerging AI regulations
- Establishing accountability in AI deployment
- Auditing GenAI systems for fairness, transparency, and security
Module 6: AI Risk Mitigation Strategy
Estimated time: 0.75 hours
- Building organizational readiness for AI-related threats
- Developing incident response plans for AI breaches
- Training, policies, and cross-functional collaboration for defense
- Creating AI security playbooks and escalation protocols
Prerequisites
- Familiarity with basic cybersecurity concepts
- Understanding of AI or machine learning fundamentals preferred
- Interest in risk management or compliance frameworks
What You'll Be Able to Do After
- Identify key cybersecurity risks associated with Generative AI
- Analyze and respond to AI-driven threats like deepfakes and phishing
- Apply threat modeling techniques to AI systems
- Implement secure development practices in GenAI projects
- Develop governance strategies and compliance audits for AI deployments