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June 28, 2024

Webinar: Automating Fault Classification with Cyber-Physical Modeling

Automotive Intrusion Detection System (IDS) alerts are uniquely difficult to investigate. As vehicles age, IDS rules may be triggered by fluctuating sensor and actuator responses, unintended electrical events, Diagnostic Trouble Codes (DTCs), repairs, and more. To properly analyze cyber events caused by diagnostic faults, Security Operation Center (SOC) managers must hire more and higher-skilled analysts, which could increase costs.

Garrett Motion

Garrett Motion

What are the skills needed to tell a fault from a hack? How can a Security Operation Center (SOC) analyst find a true security event amongst a sea of anomalies triggered by diagnostic faults? And what special tools can be built into a SOC to reduce the burden on SOC analysts?

In this webinar, we will explore:

  • The challenges and techniques of fault analysis in automotive cyber security
  • How cyber-physical modeling can help distinguish faults from intrusions
  • How vehicle SOCs can incorporate fault analysis to better automate triage

Join our webinar to explore more about this automotive cybersecurity challenge.


Cybersecurity Solutions

Nearly all cars manufactured today are connected. Although connected vehicles promise improved performance, greater safety and access to more flexible and tailored mobility solutions, they are also attractive targets for cyber-attacks with exponential attack surfaces. In a recent survey conducted by Capgemini, 68% of customers identified cyber protection as a key decision factor when buying a car.

Garrett Motion expertise combines nearly 70 years of Tier 1 automotive technology leadership with a unique aerospace and industrial software heritage. Our cybersecurity solutions are tailored to the automotive product development process and promote productivity and agility, while considering relevant standards in their design. These solutions are currently in production in one of the major global OEMs and more SOP to come during the year.

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