How does a Top 3 Ivy League School detect and respond to account compromise? Join us as we discuss how a small SecOps team protects their organization from highly motivated attackers. In this session we’ll explore how this organization implemented and operationalized deep learning to secure user accounts using Jupyter Notebooks and the Splunk® App for Data Science and Deep Learning (DSDL).
Session Times:
- Wednesday, Jun 12 1:00 PM - 1:30 PM PDT
- Thursday, Jun 13 1:00 PM - 1:30 PM SGT
- Thursday, Jun 13 3:00 PM - 3:30 PM CEST
Please note: All session times below are shown in PDT (UTC -7)
DEV1474A-2A - Deep Learning for Compromised Account Detection Using Splunk
Speakers

Sr. Privacy/Security Engineer, Top 3 Ivy School

Senior Solutions Engineer, Splunk
- Wednesday, Jun 121:00 PM - 1:30 PM PDT
- Wednesday, Jun 1210:00 PM - 10:30 PM PDT
- Thursday, Jun 136:00 AM - 6:30 AM PDT
Session Type: Breakout Sessions
Product or Service: AI
Industries: Higher Education