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Self-Learning AI For Unified Protection Of IT & OT In Rail Systems
Rail systems play a critical role in human transportation and the supply chain. With cyber-attacks recently halting trains in Tehran, threats against rail remain a pressing concern.

Railway systems involve a high degree of integration between IT and OT, such that cyber security solutions need to provide a unified defense across both areas, highlighting points of convergence. And as rail systems become increasingly digitized, the attack surface increases. Considerable efforts need to be in place to make sure cyber security matches the high safety standards of the rail industry.

Self-Learning AI has changed the paradigm of cyber defense. Without relying on Threat Intelligence or historical attack data, the technology understands its digital surroundings – across IT and OT – detecting subtle deviations indicative of a cyber-threat. Join us to learn how Darktrace protects some of the world’s largest transit authorities and critical rail systems

Nov 16, 2021 11:00 AM in Eastern Time (US and Canada)

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Chris Thomas
VP, Industrial @Darktrace
Chris joined Darktrace in 2015 and spent four years as a lead ICS technologist, before becoming Global Head of Darktrace Industrial. Chris oversees some of Darktrace’s most strategic accounts, helping extend self-learning AI across a variety of Operational Technology environments and protect Critical National Infrastructure. Chris holds a BA in Economics from the University of North Carolina at Chapel Hill.