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Starts 3 June 2026 23:16

Ends 3 June 2026

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Leverage AI as a Cybersecurity Analyst

Navigate the intersection of AI and cybersecurity in this cutting-edge learning path aimed at security analysts looking to harness AI's potential. Learn how to leverage Microsoft Security Copilot, fine-tune models, and master explainable AI. 
via LinkedIn Learning

752 Courses


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Overview

Navigate the intersection of AI and cybersecurity in this cutting-edge learning path aimed at security analysts looking to harness AI's potential. Learn how to leverage Microsoft Security Copilot, fine-tune models, and master explainable AI. Deploy Microsoft Security Copilot to automate threat detection.Implement OWASP Top 10 safeguards for LLM systems.Build custom cybersecurity models with Mistral and Llama.

Syllabus

  • Introduction to AI in Cybersecurity
  • Overview of AI applications in cybersecurity
    Benefits and challenges of integrating AI in threat analysis
  • Understanding Microsoft Security Copilot
  • Features and capabilities of Microsoft Security Copilot
    Deployment strategies and initial setup
    Automating threat detection with Copilot
  • Fine-Tuning AI Models for Security
  • Basics of model fine-tuning in cybersecurity contexts
    Tools and techniques for customizing AI models
    Case studies of fine-tuned models in action
  • Explainable AI for Cybersecurity Analysts
  • Importance of explainability in AI models
    Techniques for improving model transparency
    Interpreting AI outputs effectively
  • Implementing OWASP Top 10 Safeguards for LLM Systems
  • Overview of the OWASP Top 10 for Large Language Models (LLMs)
    Strategies to mitigate identified risks
    Best practices for securing AI systems
  • Building Custom Cybersecurity Models with Mistral and Llama
  • Introduction to Mistral and Llama frameworks
    Design and development of custom AI models
    Integration of custom models into cybersecurity operations
  • Practical Exercises and Case Studies
  • Hands-on labs with Microsoft Security Copilot
    Workshop on deploying and tuning AI models
    Analysis of real-world case studies and lessons learned
  • Future Trends and Ethical Considerations in AI and Cybersecurity
  • Emerging trends at the intersection of AI and cybersecurity
    Ethical considerations and responsible AI deployment in security settings
    Preparing for future advancements and challenges
  • Capstone Project
  • Design and implementation of an AI-driven cybersecurity solution
    Presentation and peer review of projects

Taught by

Dr. Lyron Andrews, Bryan Li, Reet K., Adam Shostack, Stephanie Itimi and Akhil Sharma


Subjects

Information Security (InfoSec)