Towards Security AI: Opportunity and Risks (New Article Video)

Are you interested in, worried about, or already planning to implement intelligent automation for security purposes? I have clients who do that already--and, may I say, they do it well. A good example is when a well-tested, tuned and statistically validated machine learning model is used to reduce insurance fraud. Whilst still difficult, the value of automating security-related actions is high. I explain how to get started, how to prepare your data, and how the two fundamental ML approaches, supervised vs unsupervised, can work for a security application.