Data breaches have become all too common. Major security incidents typically occur at least once a month. With the rise of both security incidents and full data breaches, blue teams are often left scrambling to put out fires and defend themselves without enough information. This is something that can be changed with the right tools. Tools now available allow blue teams to weaponize data and use it to their advantage. This talk reviews frameworks for clean, consistent data collection and provides an overview of how predictive analytics works, from data collection to data mining to predictive analytics to forecasts. The allows the blue team to focus on potential risks instead of trying to put out every fire.

Leah Figueroa is a 13 year veteran of the data analytics field and works as a data analyst in higher education. She holds a Master?s in Education, an ABD in research psychology, and taught kindergarten. A data aficionado, Leah focuses on research on improving students outcomes at the higher education level, including focusing on both minority students issues as well as issues pertaining to students who come from a background of poverty. While not at work, Leah is interested in improving blue teams by helping bring data analytics into the team. Leah also enjoys being a fiber artist (knitter), loves cats, InfoSec, picking locks, cooking, and reading.

Recorded at NolaCon 2017