Artificial Intelligence for Cybersecurity

Introduction

• Unleashing the power of AI for cybersecurity
• What you should know

1. Demystifying Artificial Intelligence for Cybersecurity

• Defining artificial intelligence
• Applying AI to cybersecurity
• Disciplines of artificial intelligence
• Role of machine learning in AI
• Discriminative AI vs. generative AI

2. Cybersecurity Gaps and Goals

• CIA model of security
• Cybersecurity framework
• Resource challenges
• Prevention, detection, and response

3. Solving Cybersecurity Problems with AI

• Intrusion detection at scale
• Insider threat
• Phishing and decision errors
• Speed of incidence response
• AI-generated threats

4. Applying Machine Learning to Security

• Choosing the right ML approach
• Prediction by regression
• Classification: Intruder or not
• Security anomaly detection
• GAN, BERT, GPT, and more

5. Practical Considerations, Risks, and Limitations

• The ways AI can fail you
• Limitations and poor design
• Attack against your AI
• Criminals use AI too
• Recipe for a successful AI project
• How to choose AI-based security products

Conclusion

• Next steps