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Starts 1 July 2025 11:30

Ends 1 July 2025

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Applied AI, Machine Learning, and Data Science in Security Operations

Discover how security teams can leverage AI agents, machine learning, and data science to enhance security operations, with insights on generative AI's strengths and limitations in threat detection and investigation.
Red Canary via YouTube

Red Canary

2765 Courses


29 minutes

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Overview

Discover how security teams can leverage AI agents, machine learning, and data science to enhance security operations, with insights on generative AI's strengths and limitations in threat detection and investigation.

Syllabus

  • Introduction to AI in Security Operations
  • Overview of AI, machine learning, and data science
    The role of AI in modern security operations
    Key terminology and concepts
  • Fundamentals of Machine Learning
  • Supervised, unsupervised, and reinforcement learning
    Key algorithms and their applications in security
    Model evaluation and validation
  • Data Science in Security
  • Data collection, cleansing, and preprocessing techniques
    Feature extraction and selection
    Introduction to anomaly detection
  • AI Agents in Security Operations
  • Types of AI agents and their applications in security
    Deploying AI agents for automated threat detection
    Case studies of AI agents in security operations
  • Generative AI for Security
  • Understanding generative AI models
    Applications and limitations in threat detection
    Ethical considerations and bias mitigation
  • Advanced Threat Detection with AI
  • Building predictive models for intrusion detection
    Leveraging machine learning for malware analysis
    Real-time threat monitoring and response automation
  • AI-Driven Investigation Techniques
  • Using AI for event correlation and root cause analysis
    Visualization tools for AI-powered investigations
    Enhancing human decision-making with AI insights
  • Integrating AI into Security Workflows
  • Best practices for integrating AI with existing security infrastructures
    Overcoming challenges in AI deployment in security operations
    Change management and training for security teams
  • Evaluation and Improvement
  • Continuous model improvement and feedback loops
    Performance metrics for AI in security
    Scalability and future trends in AI for security operations
  • Conclusion and Future Directions
  • Recap of key learnings
    Emerging trends in applied AI for security
    Preparing for advancements in AI technology
  • Course Project and Assessment
  • Hands-on project: designing an AI-based security solution
    Final assessment and project presentation

Subjects

Data Science