Training: 8–9 November 2016
Tutorials & Conference: 9–11 November 2016
Amsterdam, NL
Alex Pinto

Alex Pinto
Chief Data Scientist, Niddel

Website | @alexcpsec

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.

Sessions

11:20–12:00 Thursday, 10 November, 2016
Security in context (security datasci)
Location: G104/105 Level: Intermediate
Alex Pinto (Niddel)
Average rating: ****.
(4.29, 7 ratings)
Alex Pinto demonstrates how to apply descriptive statistics, graph theory, and nonlinear scoring techniques on the relationships of known network IOCs to log data and how to use those techniques to empower IR teams to encode analyst intuition into repeatable data techniques that can be used to simplify the triage stage and get actionable information with minimal human interaction. Read more.
14:50–15:50 Friday, 11 November, 2016
Location: Table D
Alex Pinto (Niddel)