Trillium Secure Uses Machine Learning To Protect Connected Vehicles From Hackers

Trillium Secure Uses Machine Learning To Protect Connected Vehicles From Hackers

ROYAL OAK – Trillium Secure recently formed a partnership with the University of Michigan MCity, an autonomous vehicle research and development facility, to provide training opportunities for engineering students. Trillium uses machine learning to help protect connected vehicles from cyber hackers.

Zoran Kehler, Trillium Vice President and Global Strategy + Aerospace and Defense Programs, explains how his company’s technology works in this segment of M2 Techcast.

The secret sauce is Trillium is focused on machine learning because vehicles are part of a live ecosystem, with a complex lifecycle, and with vehicular data—both generated and consumed by the vehicle—being at the center of the equation. Vehicle systems are the backdoor to business systems. If fleet vehicles are not secure, those companies’ businesses are not secure, Kehler said.

To listen to his podcast, click on https://soundcloud.com/internet-advisor-755109612/m2-techcast-episode-141-car-security-tillium

By |2018-09-18T15:02:53+00:00September 18th, 2018|Auto Tech, Autonomous Vehicles, Cyber Defense, M2 TechCast, Podcasts|

About the Author:

Founder of Michigan News Network, and serves as CEO, as well as Editor & Publisher of MITECHNEWS.COM. Brennan has worked since 1980 as a technology writer at newspapers in New York, NY, San Jose, CA., Seattle, WA., Memphis, TN., Detroit, MI., and London, England. He co-founded and served as managing editor of Pacific Rim News Service (SEATTLE), which developed a network of more than 100 freelance journalists in 17 Asia-Pacific countries.

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