For years we’ve asked for “the data” and now we’re swimming in a river of it, struggling to make security-sense of it all. Our systems, networks and applications are far too complex to rely on intuition alone to secure. This session will empower the security practitioner to embrace a data-driven approach to defending their organizations and detecting malicious behavior.
Using real-world data and practical hands-on use cases with data anyone can download,, attendees will be introduced to the fundamental tools and techniques of security data science, including data collection, munging, analysis and visualization. Topics will include IP address analysis (details), spatial mapping and the significance of geo-location services, and applying machine learning to netflow data to pull out patterns. You will see how to go from understanding a problem, to formulating a practical research question, performing an thorough analysis and communicating and applying the results. Along the way, you’ll also see how to go from distributed data to dynamic dashboards.
Whether you are eager to discover the power of data or are an ardent security data science skeptic, there’s something in this session fo
- Learn core security data science tools
- Understand how to apply data science within the security domain
- Discover how to build an agile security data science team
About Bob Rudis
Never far from his ‘shield’ avatar or Twitter client, Bob has over 20 years of experience building solutions for & defending Fortune 100 enterprises across a wide spectrum of industry sectors. When not quantifying risk and keeping QSAs at bay, Bob can be found hacking out culinary creations in the kitchen, cranking out miles on his bike or finding more things to control & measure with his Arduino.
About Jay Jacobs
Jay Jacobs is a co-founder and chief data scientist at Cyentia Institute, a research firm dedicated to advancing the state of information security knowledge and practice through data-driven research. Jacobs also hosts the Cyentia Podcast and is the co-author of Data-Driven Security, a book covering data analysis and visualizations for information security.
