Machine Learning for Cybersecurity Professionals

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Machine Learning for Cybersecurity Professionals

Machine Learning is a branch of Artificial Intelligence and it is dramatically changing information security field. However, many information security professionals don’t fully grasp how this technology works and improves their detection and response capabilities. This course is focused on highlighting Cybersecurity focused aspects of Machine Learning and train professionals to better utilize the technology in their field.

Course Objectives

  • Understanding the basics – What is Artificial Intelligence, Machine Learning, Deep Learning
  • How Machine Learning i different than traditional computing
  • Machine Learning Algorithms – How ML algorithms work
  • Training ML Models – Supervised and Unsupervised Learning
  • Uses of Machine Learning – Classification, Anomaly Detection, Predictions
  • ML Uses in Information Security
    • Spam Filtering
    • Threat Hunting
    • Malware Detection
    • User Behavior Analysis
    • Video Analytics
    • Fraud Detection
  • Machine Learning and End Point Protection
  • Machine Learning in Security Operations Centers
  • Algorithm biases and how they can impact detection capabilities of a model
  • Exercises
    • Training a model
    • Using simple model to detect unseen data
    • Using a pre-trained model

Registration

Registration for this course will be announced as it becomes available. Stay connected on LinkedIn Page.