August 9 | 11:00am - 12:00pm
ABSTRACT:
Artificial Intelligence and Machine learning offer much promise and many pitfalls when applied to cyberphysical systems that are a core part of critical infrastructure such as transportation. Gain an understanding of a range of potential applications of AI/ML within vehicles and the transportation network, potential pitfalls of using AI/ML in cyberphysical systems, exploitation of AI/ML systems, and use of AI/ML systems to maliciously affect vehicle operation, recent failures of AI/ML systems, and cybersecurity research on exploitation of AI/ML systems in vehicles.
John Sheehy, SVP, Research & Strategy
John has overseen multiple projects delivering identity management, threat modeling, industrial control systems security, risk assessment, security policy, secure device design, and incident & breach simulation and response services. His experience includes over 20 years of system architecture, systems integration, and information security experience working in Enterprise Architecture, Identity & Access Management, Vulnerability & Threat Management, Operations Technology, Security Strategy, Systems Architecture, and Hardware/Application Security domains.
He currently leads IOActive’s research program, corporate strategy, and service offering development.
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