JLR Korea is seeking to strengthen its brand competitiveness by emphasizing the off-road capability of its flagship Defender model.
The company said April 28 that it successfully concluded the '2026 Destination Defender' event, held for three days starting April 17 in Jincheon, North Chungcheong Province.
Now in its fourth year, Destination Defender is a customer event built around the Defender philosophy of "going beyond the impossible," bringing together owners and fans who share the brand’s outdoor lifestyle and spirit of adventure.
During the event, JLR Korea unveiled the Defender Octa Black for the first time and offered hands-on driving experiences.
The Defender Octa Black uses Narvik Black — described as the purest black in the palette — as its exclusive exterior color, finished in gloss for a deeper tone.
Visitors drove on off-road courses and a circuit set up at the Belleforet Moto Arena motorsports venue, experiencing the Defender’s limits across mixed conditions.
The off-road program expanded to 15 courses from nine last year, adding sand and mogul-style terrain to hills, water crossings and mud in what the company called its largest and toughest setup yet.
On the circuit, participants ran straightaways and winding sections to gauge on-road performance. JLR Korea said the Defender Octa Black reaches 100 kph from a standstill in 4.0 seconds.
The model is fitted with 6D Dynamics suspension, designed to provide stable, precise handling across varied surfaces.
The event also included a special program marking the launch of the global adventure event 'Defender Trophy,' which the company said symbolizes the Defender spirit of adventure.
"As Destination Defender reaches its fourth edition, it is meaningful to share the Defender spirit of adventure with more customers," said Robin Colgan, head of JLR Korea. "By giving people a chance to experience the Defender’s performance firsthand in diverse driving environments, we will continue to spread the brand’s value in everyday life."
* This article has been translated by AI.
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