Mobilint, a company specializing in AI semiconductors, will participate in 'ISEC 2026,' the largest information security and cybersecurity exhibition in Korea, and unveil its proprietary NPU-based security AI solution and edge AI computing technology. With growing market demand for on-device and on-premise methods that reduce reliance on the cloud and perform AI inference on-site, Mobilint plans to promote its AI semiconductors as a core computing platform for security systems through this exhibition.

Mobilint announced on the 29th that it will participate in ISEC 2026, which will be held on August 11-12 at Hall D on the 3rd floor of COEX in Seoul, by setting up a booth (J13).

Amid the trend of the security industry shifting from a reactive analysis-centric approach to a real-time risk recognition and response system, we plan to showcase various technology demonstrations utilizing our AI semiconductor product line.

At this exhibition, Mobilint will run live demos based on its AI semiconductors, including MLA100, MLA400, MLX-A1, and REGULUS.

It implements technologies such as real-time video analysis, AI Security Operations Center (SOC), generative AI-based operational automation, and large-scale multi-channel video processing, and consists of scenarios that recreate actual security environments, including AI cameras, Video Management Systems (VMS), and industrial facility safety management.

The company explained that it aims to meet real-time processing performance, data security, and power efficiency in edge environments.

Taking this opportunity, Mobilint aims to discover new customers and expand partnerships in security markets including the public, defense, industrial, and financial sectors.

Yoon Sang-hyun, CSO (Chief Strategy Officer) of Mobilint, stated, “The security market demands high AI inference performance, data security, and latency-free real-time processing, but there are not many AI solutions that satisfy these requirements simultaneously.” He added, “We support customers in building a safer and more efficient AI infrastructure by equipping our solution with the performance, power efficiency, and security required for edge environments.”