O'reilly Security Podcast - O'reilly Media Podcast

The O’Reilly Security Podcast: Scaling machine learning for security, the evolving nature of security data, and how adversaries can use machine learning against us.In this special episode of the Security Podcast, O’Reilly’s Ben Lorica talks with Parvez Ahammad, who leads the data science and machine learning efforts at Instart Logic. He has applied machine learning in a variety of domains, most recently to computational neuroscience and security. Lorica and Ahammad discuss the challenges of using machine learning in information security.Here are some highlights: Scaling machine learning for security If you look at a day's worth of logs, even for a mid-size company, it's billions of rows of logs. The scale of the problem is actually incredibly large. Typically, people are working to somehow curate a small data set and convince themselves that using only a small subset of the data is reasonable, and then go to work on that small subset—mostly because they’re unsure how to build a scalable syst