Course Outline
Introduction to AI in Cybersecurity
- Current cyber threat landscape.
- AI use cases in cybersecurity.
- Overview of machine learning and deep learning techniques.
Data Collection and Preprocessing
- Security data sources: logs, alerts, and network traffic.
- Data labeling and normalization.
- Handling imbalanced datasets.
Threat Detection and Anomaly Identification
- Supervised vs. unsupervised learning.
- Building classification models for intrusion detection.
- Clustering techniques for anomaly detection.
Security Process Automation with AI
- AI for automating threat intelligence analysis.
- Security Orchestration, Automation, and Response (SOAR) platforms.
- Case study: Automating phishing detection and response.
Predictive Analytics for Cybersecurity
- Forecasting attack trends using time-series models.
- Using natural language processing (NLP) on threat reports.
- Building a threat prediction pipeline.
Incident Response with Intelligent Systems
- Building an AI-powered incident response framework.
- Real-time response decision-making.
- Integration with SIEM and threat intelligence platforms.
AI Tools and Frameworks for Cybersecurity
- Open-source tools and libraries (e.g., Scikit-learn, TensorFlow, Keras).
- Platforms for security analytics and automation.
- Deployment considerations.
Ethical and Operational Considerations
- Bias and fairness in AI models.
- Regulations and compliance.
- Transparency and explainability.
Final Project: AI-Powered Cybersecurity Solution
- Design and implement an AI-driven solution for a real-world cybersecurity problem.
- Collaborative problem-solving and solution development.
- Presentation and feedback.
Summary and Next Steps
Requirements
- A foundational understanding of cybersecurity concepts.
- Experience with programming or scripting (e.g., Python).
- Familiarity with machine learning fundamentals.
Audience
- Cybersecurity analysts and engineers.
- AI and data science professionals interested in cybersecurity applications.
- Security architects and IT managers.
Testimonials (3)
Experience sharing, it's teacher's know-how and valuable.
Carey Fan - Logitech
Course - C/C++ Secure Coding
get to understand more about the product and some key differences between RHDS and open source OpenLDAP.
Jackie Xie - Westpac Banking Corporation
Course - 389 Directory Server for Administrators
the knowledge of the trainer was very high - he knew what he was talking about, and knew the answers to our questions
