Impact of Generative AI on Cyber Security 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 in Cybersecurity
Estimated time: 0.5 hours
- What is Generative AI and why it matters in cybersecurity
- Overview of GenAI capabilities, risks, and opportunities
- Understanding the intersection of AI and cyber threats
- Key terminology and foundational concepts
Module 2: Threats Amplified by GenAI
Estimated time: 0.75 hours
- AI-generated phishing attacks and their evolution
- Malware creation using generative AI tools
- Advanced social engineering powered by AI
- Real-world examples of AI-linked security breaches
Module 3: Using GenAI for Cyber Defense
Estimated time: 1 hour
- Leveraging AI for threat detection and analysis
- Automating incident response with generative models
- Enhancing SOC workflows using large language models (LLMs)
- Improving vulnerability management through AI assistance
Module 4: Security Risks in AI Systems
Estimated time: 1 hour
- Prompt injection attacks and defenses
- Model poisoning and data integrity risks
- Data leakage and privacy concerns in AI tools
- Aligning AI usage with cybersecurity protocols
Module 5: Ethics, Governance & Secure Deployment
Estimated time: 0.75 hours
- Developing cybersecurity policies for AI implementation
- Frameworks for AI governance and compliance
- Ethical considerations in deploying generative AI
- Best practices for secure AI adoption
Module 6: Future Outlook & Defensive Strategies
Estimated time: 0.5 hours
- Evolving trends in generative AI and cyber threats
- Emerging defensive technologies and strategies
- Skills and roles for AI-aware cybersecurity professionals
Prerequisites
- Familiarity with basic cybersecurity concepts
- No coding or technical AI background required
- Interest in AI’s impact on digital security
What You'll Be Able to Do After
- Identify key threats posed by generative AI in cyber contexts
- Explain how AI can be used both offensively and defensively in cybersecurity
- Analyze real-world cases of AI-driven attacks and defenses
- Apply best practices for secure and ethical AI deployment
- Prepare for future roles in AI-enhanced cybersecurity environments