Distinguish Signal from Noise: Find Threats in Your Security Sensor Data

Presented by

Slava Nikitin, Data Scientist, The Columbus Collaboratory

About this talk

Join us for this webinar that will recommend how to deal with your “big data” problem when dealing with the massive volume of raw, unprocessed data points from your network security sensors. Hint: don’t start with the data and attempt to drill down to the problem. Instead, as Slava Nitikin, Data Scientist from the Columbus Collaboratory will explain, you must start by the defining problem, building a threat model, and then focusing on the corresponding signals in your sensor data. We will walk through the use case for an Active Directory password spraying attack to demonstrate how to define and apply appropriate filters to your security data for faster detection, more accurate threat scoring and more effective security overall.

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These real-life threat hunters proactively search through networks and datasets looking for threats that existing automated tools cannot detect. This series will feature individual threat hunters, and the tools and techniques they use to stay on top of their game. Discover their methods and skills, as well as their recommendations on how to stay up to date on current attack trends, next developments in their space and great resources for beginners to threat hunting. Save your spot and join the conversation.