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LinkedIn Learning

Artificial Intelligence for Cybersecurity

via LinkedIn Learning

Overview

Learn how to leverage artificial intelligence (AI) to solve complex problems in the field of information security. Along the way, explore the risks of using AI for security.

Syllabus

Introduction
  • Applying AI to information security
1. Demystifying Artificial Intelligence for Security
  • What is artificial intelligence?
  • Artificial intelligence for security
  • Foundational disciplines of AI
  • Discipline of learning
2. Security Objectives and Approaches
  • End-to-end security framework
  • Security controls
3. Leveraging AI to Solve Complex Security Problems
  • Problem of scale
  • Problem of context
  • Problem of precision and accuracy
  • Problem of speed
4. Machine Learning for Security
  • Categories of machine learning
  • Prediction by regression
  • Classification of good versus bad
  • Clustering, pattern, and anomaly detection
  • Synthetic data generation
5. Practical Considerations, Risks, and Limitations
  • Three ways AI can fail you
  • One: Limitations and poor implementation
  • Two: Attack against your AI implementation
  • Three: Use of AI by criminals
  • Getting your organization ready for AI
  • Evaluating AI-based products
Conclusion
  • Next steps

Taught by

Sam Sehgal

Reviews

4.6 rating at LinkedIn Learning based on 271 ratings

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