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Wednesday, April 17 • 9:55am - 10:30am
Demystifying Machine Learning Analytics for Situational Awareness & Threat Monitoring in ICS

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The ICS cybersecurity market is swirling with hot buzzwords. More than 20 startups have emerged in the ICS market in response, offering products that attempt to meet this demand. But what do  terms like “anomaly detection” and “machine learning” actually mean in the context of ICS threat monitoring? What does machine learning do and how does it work? Is it providing real value or is it yet again clever marketing? Is machine learning really even being used? If so, how can anomaly detection and machine learning enhance ICS threat monitoring? Is it really needed? What strategies, tools, and techniques can really help you with your ICS environment situational awareness and threat monitoring? Are there options for budget-constrained organizations? This session will explore how anomaly detection and machine learning work, and how they can be deployed for effective ICS situational awareness. The audience will be armed with what they need to cut through the buzzwords and confusion. Attendees will be introduced to several open source tools available that will help them learn more about passive asset identification, anomaly detection, and threat monitoring, and potentially even deploy their own “DIY” situational awareness solution.

avatar for Clint Bodungen

Clint Bodungen

President & CEO, ThreatGEN
Clint is a recognized industrial cybersecurity expert, public speaker, and lead author of the book “Hacking Exposed: Industrial Control Systems”. He is a United States Air Force veteran, has been an INFOSEC (now called “cybersecurity”) professional for more than 20 years... Read More →

Wednesday April 17, 2019 9:55am - 10:30am GMT+08
Stamford Ballroom