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February 4, 2026

LVT Partners with Columbia Southern University on Continuing Education Courses for Security Industry Professionals

LVT and Columbia Southern University are partnering to provide security professionals with specialized training, microcredentials, and tuition discounts.

January 13, 2026

LVT Ranked No. 1 Innovative Leader in 2025 Frost Radar™ for Mobile Surveillance

Leading AI-driven deterrence features recognized for crime prevention, bolstering intelligent site management strategies

December 11, 2025

LVT Appoints Three C-Suite Executives to Support Rapid Company Growth

LVT announced three new executive appointments: George Bentinck as Chief Product Officer, Arvind Bobra as Chief Financial Officer, and Mike Johnson as Chief Legal Officer.

September 3, 2025

LVT Appoints Qualtrics Veteran Chris Beckstead as President

New President to Partner with CEO and Co-founder Ryan Porter on Company's Next Phase of Growth

August 21, 2025

LVT Releases Wall Mount with Extended View to Strengthen Security Coverage

LVT Wall Mounts can now support three cameras up to 300 feet away for optimal security coverage

June 24, 2025

EY US Announces Ryan Porter of LVT as an Entrepreneur Of The Year® 2025 Mountain West Award Winner

Celebrating the bold leaders shaping the future through the world’s most ground-breaking companies

June 18, 2025

Utah Jazz to Open Two New Community Courts This Summer in Utah County

The project is in partnership with Clyde Companies and Layton Construction with support from LVT

April 23, 2025

LVT Launches Integration with Axon Fusus Real-Time Crime Center Technology

LVT now integrates with Axon Fusus, enabling real-time video sharing and enhanced emergency response for law enforcement.

April 2, 2025

LVT Releases Industry-First Mobile Security Unit Talk Down Powered by Agentic AI and Other Features

New AI features include personalized audio messages that identify attributes, a pan/tilt spotlight that intelligently points at a detection area, and an intuitive forensic search to find footage using natural language