Applying Machine Learning to Network Security Monitoring - BayThreat 2013

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

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

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

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

ALEX PINTO WELDER

Alex's Resume

Sharing is Caring: Understanding and Measuring Threat Intelligence Sharing Effectiveness

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

Towards a Threat Hunting Automation Maturity Model