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
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