Apache Metron: Open source cybersecurity at scale
Who is this presentation for?Data engineers, platform engineers, security analysts, and data scientists
Cybersecurity is a big data challenge. Applications and security devices create terabytes of logs per day in hundreds of different formats, but security analysts can only investigate a portion of the events. Which ones should they investigate? Which events are related? Enter Apache Metron, a real-time security analytics platform that ingests, normalizes, enriches, triages, and stores application and security events in a data lake.
Bring your laptop, roll up your sleeves, and get ready to crunch some events with Metron. Run through the step by step examples on your own cloud Metron installation. When you get back to the office you will be ready to use Metron back at the office.
Apache Metron overview
Ingesting, normalizing, and enriching events
Triaging events to find the “needle in the haystack”
Machine learning: Building and applying models
User and entity behavior analytics: Profiling and anomaly detection
Exploring event history: Dashboards, threat hunting, and investigation
Prerequisite knowledgeBig Data or cyber security knowledge is helpful but not required.
Materials or downloads needed in advance
What you'll learn
Carolyn Duby is a Solutions Engineer and lead Cyber Security SME at Cloudera, where she helps customers harness the power of their data with Apache open source. Previously, she was the architect for cybersecurity event correlation at SecureWorks. A subject-matter expert in cybersecurity and data science, Carolyn is an active leader in the community and frequent speaker at Future of Data meetups and at conferences such as Strata Data Conference, Dataworks Summit, Open Data Science Conference and Day of Shecurity. Carolyn holds an ScB (magna cum laude) and ScM from Brown University, both in computer science. She is lifelong learner and recently completed the Johns Hopkins University Coursera Data Science Specialization.
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