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Course Outline
AI-Enhanced Threat Detection Techniques
- Advanced supervised and unsupervised machine learning models
- Real-time anomaly detection using AI
- Implementing AI-driven threat hunting techniques
Building Custom AI Models for Cybersecurity
- Developing models tailored to specific security needs
- Feature engineering for cybersecurity data
- Training and validating models with cybersecurity datasets
Incident Response Automation with AI
- AI-based playbooks for automated response
- Integrating AI with SOAR platforms for enhanced automation
- Reducing response time with AI-driven decision-making
Advanced Deep Learning for Cyber Threat Analysis
- Neural networks for detecting complex malware
- Using deep learning for advanced persistent threat (APT) detection
- Case studies on deep learning in threat analysis
Adversarial Machine Learning in Cybersecurity
- Understanding and defending against adversarial attacks on AI models
- Implementing robustness techniques for AI security models
- Securing AI algorithms in dynamic threat landscapes
Integration of AI with Existing Cybersecurity Infrastructure
- Connecting AI models with SIEM and threat intelligence platforms
- Optimizing AI performance within cybersecurity workflows
- Scalable deployment of AI-driven security measures
Threat Intelligence with AI and Big Data
- Leveraging AI to analyze large-scale threat data
- Real-time threat intelligence gathering and analysis
- Using AI to predict and prevent future cyber threats
Summary and Next Steps
Requirements
- Solid understanding of cybersecurity frameworks and threat detection
- Experience with machine learning and AI applications in security
- Familiarity with scripting and automation in security environments
Audience
- Intermediate to advanced cybersecurity professionals
- Security operations center (SOC) analysts
- Threat hunters and incident response teams
28 Hours
Testimonials (2)
The trainer was very knowledgable and took time to give a very good insight into cyber security issues. A lot of these examples could be used or modified for our learners and create some very engaging lesson activities.
Jenna - Merthyr College
Course - Fundamentals of Corporate Cyber Warfare
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
