# NMFTA Cybersecurity Conference 2026

> NMFTA's annual trucking cybersecurity conference in Long Beach, covering cargo theft, telematics security, and incident response.

September 29 - October 1, 2026 (2026-09-29 to 2026-10-01).
Location: Long Beach, CA.
Organizer: National Motor Freight Traffic Association (NMFTA).
Official site: https://cyber.nmfta.org/cybersecurity-conference
Canonical: https://its-feed.com/events/nmfta-cybersecurity-conference-2026/

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The National Motor Freight Traffic Association runs its annual cybersecurity conference
September 29 to October 1 at the Marriott Long Beach Downtown in Long Beach, California.
NMFTA bills it as North America's premier cybersecurity event for the trucking industry and
the only one built specifically for the sector. The program covers cargo theft, telematics
security, AI, incident response, and hands-on training, and draws carrier IT and security
staff, CISOs and CTOs, shippers, 3PLs, brokers, OEMs, and security researchers.

## Why it matters for the data layer

NMFTA is the body behind freight classification and the digital LTL data standards work.
That makes this the room where freight data exchange and telematics security get argued by
the same people who write the formats, rather than by a security conference borrowing
trucking as a case study. If you integrate carrier or telematics feeds, the arguments here
end up in your interfaces.

Two practical notes. The event grew out of what NMFTA used to call its Digital Solutions
Conference, and the current event page has dropped that name, so anyone searching the old
title should land here instead. It also runs on the same three days as SAE COMVEC 2026,
which forces a choice for anyone tracking both the vehicle side and the data side of
freight.

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Source: ITS Feed, https://its-feed.com/events/nmfta-cybersecurity-conference-2026/
ITS Feed is an independent editorial site on the data and technology layer of transportation, published by the team at Veodyn. Figures trace to the sources linked inline.
Site index for agents: https://its-feed.com/llms.txt