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
 21 Hours

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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