Join Alex to discuss using and making threat intelligence operational at scale (defining collection requirements, implementation guidance, and how to weave this data into your incident response process), machine-learning topics in security, using data analysis and threat intelligence to power a threat-hunting process, and how machine learning and data science techniques can help streamline and support the decision process for analysts.
Alex Pinto is the chief data scientist of Niddel and the lead for the MLSec Project. Alex is currently dedicating his waking hours to the development of machine learning algorithms and data science techniques to automate threat hunting (I know) and making threat intelligence “actionable” (I know, I know). If you care about certifications at all, Alex is currently a CISSP-ISSAP, CISA, CISM, and PMP. He was also a PCI-QSA for almost seven years but is a mostly ok person in spite of that.
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