1. Moscone West 2008

AI bots historically emerged as chatbots. Early versions were rule-based, adding NLP and machine learning turned them into AI-based bots to be used in sales and support. Thousands of times faster than humans without fatigue, these AI bots have arrived. They are now being applied to Real-Time Adaptive Security. Analyzing cross domain context, events and weeding out false positives in milliseconds.

Learning Objectives:
1: Gain an introduction to the concept of AI bots for Real-Time Adaptive Security.
2: Learn how machine learning can be used with an integrated security platform.
3: Discover how problems like insider threat can be solved with AI bots.

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