【參展快訊】VicOne 以 AI 資安技術守護機器人，強化 Physical AI 防護

As AI robots enter the real world, cybersecurity becomes essential for safe operation.

VicOne, a leader in Physical AI cybersecurity, will join 2027 TAIREX – Taiwan International AI Robotics Exhibition to showcase its robot security testing and real-time protection technologies.

VicOne, headquartered in Tokyo, Japan, is a cybersecurity leader for Physical AI, built on proven automotive cybersecurity expertise.

Its software and services protect the digital systems that shape how vehicles and robots see, decide, and act. VicOne helps OEMs, Tier 1 suppliers, robot makers, and operators identify cyber risks early, assess their potential safety impact, and protect systems in operation, helping maintain safe, reliable behavior across real-world deployments.

With 180+ zero-days uncovered across automotive and robotics, 100M+ new threat intelligence signals added monthly, and 30 U.S. patent applications pending in AIDV and AI security, VicOne combines specialized Physical AI security research with global threat intelligence.

As a Trend Micro subsidiary, VicOne is backed by decades of global cybersecurity expertise. For more information, visit vicone.com. 

Pre-Deployment | Integrating Cyberattacks into Robot Safety Testing

VicOne Radeis integrates with NVIDIA Isaac Sim™ to simulate cyberattack scenarios, including vulnerability exploitation, prompt injection, and adversarial vision attacks, in a digital twin environment. By evaluating how malicious inputs affect robot decisions and behaviors, Radeis helps developers identify risks early, strengthen security measures, and ensure robots can not only perform their intended tasks but also respond safely under adversarial conditions.

Runtime | Protecting AI with AI for Real-Time Robot Security

VicOne Rthena leverages NVIDIA Nemotron™ to train AI-powered cybersecurity models, extending protection to Edge AI on robots. By continuously monitoring robot tasks and system states, Rthena detects malicious instructions, such as prompt injection, and applies security policies to mitigate threats, reducing the risk of manipulated decisions and unintended actions.

Building Trust in Physical AI, from Pre-Deployment Validation to Runtime Protection.