Evolution of AI Bots for Real-Time Adaptive Security

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.

Speaker: Thomas Caldwell

A veteran of Cisco and Microsoft, Tom Caldwell has deep expertise in delivering cloud-based software products and large scale software systems to large enterprise and service providers. Caldwell was the Founder of CyberFlow Analytics, a cybersecurity and Big Data analytics company that was acquired by Webroot in 2016. Prior to that, Caldwell was President of LonoCloud, a Cloud PaaS startup focused on resilient multicloud architectures. With over 11 years in engineering at Cisco and an MS in computer science, he has more than 20 years of experience in security and software engineering.

Detailed Presentation:

(Source: RSA Conference USA 2018)

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