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035 Predicting Future Threats With Machine Learning

035 Predicting Future Threats With Machine Learning

FromInside Security Intelligence


035 Predicting Future Threats With Machine Learning

FromInside Security Intelligence

ratings:
Length:
17 minutes
Released:
Dec 11, 2017
Format:
Podcast episode

Description

In this episode, we take a closer look at some of the specifics of artificial intelligence and machine learning, and how cybersecurity professionals can benefit from including these tools in their threat intelligence arsenals. We’ll discuss clustering, natural language processing or NLP, and supervised learning, and we’ll find out why combining the talents of humans with the speed and analytical capabilities of computers, the so-called digital centaurs, could provide even more powerful solutions in the future.
Joining us are two experts in machine learning. Christopher Sestito is manager of threat intelligence at Cylance, a company that’s all-in when it comes to AI technology, and Staffan Truvé, co-founder and chief technology officer at Recorded Future.
4 Ways Machine Learning Is Powering Smarter Threat Intelligence By Staffan Truvé https://go.recordedfuture.com/machine-learning
Released:
Dec 11, 2017
Format:
Podcast episode

Titles in the series (100)

Recorded Future takes you inside the world of cyber threat intelligence. We’re sharing stories from the trenches and the operations floor as well as giving you the skinny on established and emerging adversaries. We also talk current events, technical tradecraft, and offer up insights on the big picture issues in our industry. Join the Recorded Future team, special guests, and our partners from the CyberWire to learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence.