Skip to content
TrackPodcasts
technologySep 2, 202140:01pending

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

About this episode

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.

Get every episode summarized

Each time The Virtual CISO Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

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

The Virtual CISO Podcast

0:00
40:01

More episodes

More from The Virtual CISO Podcast

View all episodes →