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LinkedIn Learning

Artificial Intelligence for Cybersecurity

via LinkedIn Learning

Overview

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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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