Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
Overview
Syllabus
Introduction
- Unleashing the power of AI for cybersecurity
- What you should know
- Defining artificial intelligence
- Applying AI to cybersecurity
- Disciplines of artificial intelligence
- Role of machine learning in AI
- Discriminative AI vs. generative AI
- CIA model of security
- Cybersecurity framework
- Resource challenges
- Prevention, detection, and response
- Intrusion detection at scale
- Insider threat
- Phishing and decision errors
- Speed of incidence response
- AI-generated threats
- Choosing the right ML approach
- Prediction by regression
- Classification: Intruder or not
- Security anomaly detection
- GAN, BERT, GPT, and more
- 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
- Next steps
Taught by
Sam Sehgal
