ANN ARBOR – Vehicle cybersecurity company Trillium Secure has partnered with the University of Michigan’s TechLab at MCity to conduct research on how Artificial Intelligence can bolster a connected vehicle’s resistance to cyber attack.
Trillium’s Director of Global Engineering, Ross Hirschi, will collaborate with MCity by providing mentorship to a team of UM students from technical departments.
“Partnering with Trillium gives TechLab students the unique opportunity to engage in entrepreneurship while applying classroom learning to practical technology development in the connected and autonomous mobility industry,” said Nick Moroz, Assistant Director of Entrepreneurial Practice at the Center for Entrepreneurship. “I’m confident that the results of this partnership will attract many driven, passionate, and talented students to the cybersecurity field.”
Hirschi will spearhead the project to refine SecureIXS, Trillium’s intrusion detection and prevention system (IDPS). SecureIXS creates a protective firewall for each electronic control unit (ECU) by leveraging AI and machine learning to inspect behavioral level patterns and to detect anomalies in entire vehicle fleets.
Another project goal is to mentor UM students on using IDPS’ deep learning capabilities to model normal data traffic, to prevent rogue messages from entering ECUs, and to validate Trillium’s AI solution at the incubator’s state-of-the-art facilities. SecureIXS is one component of Trillium’s multi-layered solution that prevents malicious cyber-attackers from tampering with vehicles’ mission-critical ECU.
“We are thrilled to be working in partnership with TechLab at Mcity and to have access to the nation’s leading mobility research and test facility,” said David Uze, Founder and CEO of Trillium. “Collaboration with TechLab at Mcity will enhance Trillium’s mission to make connected and autonomous vehicles safe from cyber-attack.”
For more information, click on https://trilliumsecure.com/
