VicOne releases free NVIDIA Isaac Sim cybersecurity extension based on DEF CON 34 research

Radeis Extension for NVIDIA Isaac Sim is designed for pre-deployment robot cyber-safety testing. Source: VicOne

As concerns about cybersecurity increase, robotics developers are getting tools to test it in simulation. VicOne Inc. yesterday released the free VicOne Radeis Extension for NVIDIA Isaac Sim, which it said enables developers to test how selected attack scenarios could affect the behavior of their own robot models.

“Robotics companies are moving from proving individual use cases to deploying robots at scale in real-world environments. As that shift accelerates, the industry must validate not only whether robots function as designed, but [also] whether they remain reliable when the digital systems they depend on are compromised,” stated Max Cheng, CEO of VicOne.

“Cyber-safety validation must become a standard part of robotics development,” he added. “By turning DEF CON research into repeatable simulation scenarios, we are helping developers address these risks earlier and build more resilient physical AI at scale.”

Founded in 2022, VicOne has built its cybersecurity for physical AI on its automotive expertise. The Trend Micro subsidiary said its software and services can protect the digital systems that shape how vehicles and robots see, decide, and act.

Tokyo-based VicOne helps OEMs, Tier 1 suppliers, robot makers, and operators identify cyber risks early, assess their potential safety impact, and protect systems in operation. The company said it has uncovered more than 180 zero-days across automotive and robotics, added over 100 million threat intelligence signals monthly, and filed 30 U.S. patent applications for AI-defined vehicle and physical AI security.

Robot makers invest heavily in functional testing, safety engineering, and simulation, but cyber-induced conditions can still fall outside conventional test plans, noted VicOne. At DEF CON 34’s Robotic Hacking Community, the company conducted its Physical AI Safety Stress Test CTF (capture the flag) exercise.

Security researchers tested how digital compromises could alter robot behavior under controlled conditions. The challenge examined attack paths across AI models, perception, cloud and API services, robotics communications, and embedded systems.

The DEF CON activities included the Reachy Mini and LeKiwi robotics platforms. They provided researchers with hands-on systems for exploring how cybersecurity vulnerabilities couldaffect physical robot behavior.