Security anomaly detection

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

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