Beyond Matching: Applying Data Science Techniques to IOC-Based Detection - CTI SUMMIT 2017
2017 CTI Summit Highlight - Beyond Matching: Applying Data Science Techniques to IOC-Based Detection
Alex Pinto, Beyond Matching: Applying Data Science Techniques to IOC-based Detection, Ops Track
Alex Pinto, Beyond Matching Applying Data Science Techniques to IOC based Detection, Ops Track
Fighting Malware with Graph Analytics: An End-to-End Case Study
Indicators of Compromise: What's interesting, what's not and what else is needed
305 Contextual Threat Intelligence Building a Data Science Capability into the Hunt Team Brian Genz
BSides DC 2016 - Practical Cyborgism: Getting Start with Machine Learning for Incident Detection
Boston BSides - Machine Learning for Incident Detection - Chris McCubbin & David Bianco
Improve Detection Outcomes with Threat Intelligence
Dev/Ops and Data Science Development in Washington, DC
PG - Using Machine Learning to Support Information Security - Alex Pinto
Determining the Fit & Impact of CTI Indicators on Your Monitoring Pipeline - SANS CTI Summit 2018
Upgrading Your CTI to Track Down Criminal Hosting Infrastructures - SANS CTI Summit 2018
Detecting & Responding to Pandas and Bears:
Integrating Cyber Threat Intelligence using Classic Intel Techniques - CTI SUMMIT 2017
Using Intelligence to Heighten your Defense - CTI SUMMIT 2017
An Introduction to Machine Learning for Threat Hunting part #1
Reversing Threat Intelligence - Fun with Strings in Malware - CTI SUMMIT 2017
