Alex Pinto

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Alex has been working on the information security field for 15 years and a founder of one of the most successful information security services and consulting companies in Brazil, Cipher Security, that under his technical guidance, expanded operations into the UK and US. Leaving Cipher in a successful exit event, Alex decided to make his next chapter about the research of machine learning and data science applications into information security, having been doing so for the last 3 years. He created MLSec Project on July 2013 to provide a platform for people interested in the development of machine learning algorithms to support the information security monitoring practice. It has been gath...

information security threat intelligence data science machine learning mlsec project defcon threat hunting automation security analytics orchestration incident response niddel threat intelligence sharing intelligence sharing datascience security threatintelligence bsideslv #security #machinelearning #datascience #baythreat

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About

Alex Pinto

Presentations

BSidesLV 2013 - Using Machine Learning to Support Information Security

Applying Machine Learning to Network Security Monitoring - BayThreat 2013

Measuring the IQ of your Threat Intelligence Feeds (#tiqtest)

Secure Because Math: A Deep-Dive on Machine Learning-Based Monitoring (#SecureBecauseMath)

From Threat Intelligence to Defense Cleverness: A Data Science Approach (#tidatasci)

Data-Driven Threat Intelligence: Useful Methods and Measurements for Handling Indicators

Data-Driven Threat Intelligence: Metrics on Indicator Dissemination and Sharing

SANS CTI Summit 2016 - Data-Driven Threat Intelligence: Sharing

Sharing is Caring: Understanding and Measuring Threat Intelligence Sharing Effectiveness

Beyond Matching: Applying Data Science Techniques to IOC-based Detection

Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation

Towards a Threat Hunting Automation Maturity Model

Determining the Fit and Impact of CTI Indicators on Your Monitoring Pipeline (TIQ-Test 2.0)

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H2O Distributed Deep Learning by Arno Candel 071614