How Do We Approach Unsupervised Machine Learning?

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Many of us with the typical IT and security backgrounds might not have the slightest idea what to expect when we hear the terms “this product uses advanced machine learning…”, but that claim certainly conjures up a lot of skepticism due to the opaque nature of the algorithms in many of these products. In this episode we discuss what AI and ML are best used for, and what they can, can’t, and shouldn’t be used for with guest Dave Hoelzer.

Our Guest - Dave Hoelzer

David Hoelzer, a SANS Fellow and author of more than twenty days of SANS courseware, is an expert in a variety of information security fields, having served in most major roles in the IT and security industries over the past twenty-five years. Currently, David serves as the principal examiner and director of research for Enclave Forensics, a New York/Las Vegas based incident response and forensics company. He also serves as the chief information security officer for Cyber-Defense, an open-source security software solution provider.

Follow Dave

Twitter: https://twitter.com/it_audit 

LinkedIn: https://www.linkedin.com/in/davidhoelzer/ 

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