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Overview
The course “Artificial Intelligence for Cybersecurity” explores the integration of AI technologies into cybersecurity strategies to enhance threat detection, prevention, and response. Designed for cybersecurity professionals, IT specialists, and AI enthusiasts, the course provides a comprehensive look at how machine learning, deep learning, and other AI techniques are transforming the security landscape. Participants will learn about key AI applications such as anomaly detection, behavior analysis, automated threat intelligence, and real-time incident response. The course covers the use of AI in...
Syllabus
Introduction
- Applying AI to information security
1. Demystifying Artificial Intelligence for Security
- What is artificial intelligence?
- Artificial intelligence for security
- Foundational disciplines of AI
- Discipline of learning
2. Security Objectives and Approaches
- End-to-end security framework
- Security controls
3. Leveraging AI to Solve Complex Security Problems
- Problem of scale
- Problem of context
- Problem of precision and accuracy
- Problem of speed
4. Machine Learning for Security
- Categories of machine learning
- Prediction by regression
- Classification of good versus bad
- Clustering, pattern, and anomaly detection
- Synthetic data generation
5. Practical Considerations, Risks, and Limitations
- Three ways AI can fail you
- One: Limitations and poor implementation
- Two: Attack against your AI implementation
- Three: Use of AI by criminals
- Getting your organization ready for AI
- Evaluating AI-based products
Conclusion
- Next steps
Instructor
Sam Sehgal
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