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Duration 21 hours
Course Outline
Introduction to AI in Cybersecurity
- Current landscape of cyber threats.
- AI use cases in cybersecurity.
- Overview of machine learning and deep learning techniques.
Data Collection and Preprocessing
- Sources of security data: 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 solid understanding of fundamental cybersecurity concepts.
- Practical experience with programming or scripting languages (e.g., Python).
- Familiarity with the core principles of machine learning.
Target Audience
- Cybersecurity analysts and engineers.
- AI and data science professionals interested in cybersecurity applications.
- Security architects and IT managers.
Testimonials (2)
Despite the topic being vast and complex, I would say it was not overwhelming.
Sabino Minervino - 50 & PIU' FENACOM SERVIZI SRL
Course - Artificial Intelligence for Cybersecurity
Machine Translated
an interesting topic
Viviana Bini - 50 & PIU' FENACOM SERVIZI SRL
Course - Artificial Intelligence for Cybersecurity
Machine Translated
