Artificial Intelligence for Cybersecurity

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