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with Sam Sehgal
Learn how you can use AI—with appropriate preparation and guardrails—to address complex problems in cybersecurity.
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