Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed!
Speaker(s)
Melisa Napoles, Sales Engineer, Splunk
Erika Strano, Sales Engineer, Splunk
Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146257