Can We Predict Security Threats w/ Machine Learning? w/ Johnna Verry

Every CISO’s dreams is moving from reactive security to purely proactive security posture. In an era of big data and technological advancements in machine learning is this dream finally a reality? To find out, we charged today’s guest, Johnna Verry, Intern at Pivot Point Security, with putting machine learning to the test to see if it can really be the breakthrough we need in predictive security. She joins me to share the results. In this episode, we discuss: - The challenge of — and tools necessary for — scraping and cleaning data for use in machine learning - The types of machine learning algorithms and how they work - The results of Johnna’s research and what they mean for the future To hear this episode, and many more like it, you can subscribe to The Virtual CISO Podcast here. If you don’t use Apple Podcasts, you can find all our episodes here. Listening on a desktop & can’t see the links? Just search for The Virtual CISO Podcast in your favorite podcast player.