Machine Learning When the Perimeter is Burning

Knowing what sites, apps, and APIs you’re exposing to the Internet is crucial for determining your realistic risk level and making accurate security decisions.

In this episode, Frank Catucci and Dan Murphy are joined by special guest Bogdan Calin, Principal Security Researcher at Invicti, to talk about ways of determining an organization’s web attack surface and the resulting risk level. In particular, they discuss the pro and cons of various AI and ML approaches to this problem and go deeper into the workings of the pioneering Predictive Risk Scoring feature that Bogdan helped design and build.

In the fiction segment, it’s Bob the CISO’s first day at a new company and from the first cursory check, he’s worried that the org is exposing a lot more that it should be. A call with Alice the head developer does nothing to put his mind at ease—quite the opposite...