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.

Om Podcasten

The Virtual CISO Podcast is a frank discussion that provides the very best information security advice and insights for Security, IT and Business leaders. If you’re looking for the latest strategies, tips, and trends from seasoned information security practitioners, want no-B.S. answers to your biggest security questions, need a perspective on how your peers are addressing the same issues, or just simply want to stay informed and proactive, then welcome to the show. Our moderator, John Verry, chats with industry thought leaders to ensure you have what you need to be confident in your security and compliance. John will keep you informed, and perhaps even mildly entertained, through topics like ISO 27001, breach avoidance, incident response, dealing with pesky security questionnaires, data privacy, and managing vendor risk. Think of it as security… with a smile.