Threat Detection in today's environment requires Security Operational Center (SOC) teams to go beyond SIEM rules and simple correlation. Yet, "blackbox" AI systems often fall short by creating too many false positives and often missing true incidents. Decision Automation is the new paradigm that brings the power of expert root-cause analysis using the 5 Whys approach, coupled with Machine Learning and easily-configured automation platforms, enabling security teams to create powerful intelligent threat detection. This session will explore the fundamentals of Decision Automation along with relevant case studies.
Many enterprise security teams rely on rules and searches to create alerts. Such rules not only have high false positive rates, but have very high false negative rates too. It is easy for a rule based system to miss some very simple attacks that it has not seen before. However, if we give that data to an analyst, they are more often than not, able to detect suspicious behavior and attacks that they have never seen before.
In this talk, we will see how we can build a fully automated system that uses the same techniques as an analyst does, and methodically analyze the data autonomously in order to decide which events are risky and should be turned into incidents. This talk will focus on how to automate threat hunting by using a framework to capture the expertise and techniques of a skilled threat hunter.
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