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
- An understanding of basic 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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (5)
Explaining in detail regarding RHDS.
Murat Kumburlu - Westpac Banking Corporation
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I learned a lot and gained knowledge can use at my work!
Artur - Akademia Lomzynska
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Paulo Gouveia - EID
Course - C/C++ Secure Coding
It opens up a lot and gives lots of insight what security
Nolbabalo Tshotsho - Vodacom SA
Course - Advanced Java Security
I was benefit from the exercises (SQL injection, XSS, CRSF. .).