What if the way we’ve been measuring cybersecurity risk is fundamentally flawed? Too often, organizations rely on color-coded charts and gut instinct to make critical risk decisions leading to a false sense of confidence and missed opportunities for real insight.

In this episode, we’re joined by Douglas Hubbard, creator of the Applied Information Economics (AIE) method and founder of Hubbard Decision Research. Doug is also the author of How to Measure Anything in Cybersecurity Risk, and he breaks down why risk matrices fall short, how most people misunderstand measurement, and what organizations can start doing right now to make smarter, data-driven decisions (no math degree or massive data set required!).