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Course Outline

AI Foundations in Cyber Defense

  • Overview of AI in threat identification
  • AI versus conventional cyber defense techniques
  • Emerging trends in AI-enabled cyber defense

Machine Learning for Threat Identification

  • Supervised and unsupervised learning methods
  • Creating predictive models for anomaly detection
  • Data preparation and feature selection

NLP Applications in Cyber Defense

  • Leveraging NLP for phishing identification and email scrutiny
  • Analyzing text for threat intelligence
  • Real-world examples of NLP in cyber defense

Streamlining Incident Management via AI

  • AI-centric decision-making for incident management
  • Developing automated response processes
  • Connecting AI with SIEM platforms for instant action

Deep Learning for Sophisticated Threat Identification

  • Utilizing neural networks to detect intricate threats
  • Applying deep learning models for malware examination
  • Employing AI to counter advanced persistent threats (APTs)

Protecting AI Models in Cyber Defense

  • Recognizing adversarial attacks on AI systems
  • Defensive tactics for AI-based security utilities
  • Safeguarding data privacy and model consistency

Merging AI with Cyber Defense Platforms

  • Embedding AI into current cyber defense architectures
  • AI-based threat intelligence and surveillance
  • Enhancing the efficiency of AI-driven tools

Recap and Future Directions

Requirements

  • Foundational knowledge of cyber defense fundamentals
  • Exposure to AI and machine learning principles
  • Proficiency in network and system security

Target Audience

  • Cyber defense specialists
  • IT security analysts
  • Network administrators
 21 Hours

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