AI holds tremendous promise, but a learning curve exists for many. Participants will be encouraged to share how they have applied AI to solve certain security problems. Another focus will be success criteria—how peers define ROI for AI security projects. Finally, participants will share AI lessons learned and how security challenges might lend themselves to use of machine learning.
1: Capture AI success stories so others can accelerate their implementations.
2: Identify a path—and potential obstacles—for security AI initiatives.
3: Define success and set expectations for AI projects in security.
Analytics Intelligence & Response
behavioral analytics practitioner perspectives security analytics artificial intelligence & machine learning
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